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ORCIDFang-Xiang Wu
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- affiliation: University of Saskatchewan, Saskatoon, SK, Canada
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Journal Articles
- 2024
[j201]Minghan Fu, Na Zhang, Zhenxing Huang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu:
OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising. IEEE Trans. Medical Imaging 43(4): 1554-1567 (2024)- 2023
- [j200]Yiming Li, Min Zeng
, Fuhao Zhang, Fang-Xiang Wu, Min Li:
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. 39(1) (2023) - [j199]Xuhua Yan, Ruiqing Zheng, Fang-Xiang Wu, Min Li:
CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. 39(3) (2023) - [j198]Ze-Gang Wei, Peng-Yu Bu, Xiao-Dan Zhang, Fei Liu, Yu Qian, Fang-Xiang Wu:
invMap: a sensitive mapping tool for long noisy reads with inversion structural variants. Bioinform. 39(12) (2023) - [j197]Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu:
Multi-level GAN based enhanced CT scans for liver cancer diagnosis. Biomed. Signal Process. Control. 81: 104450 (2023) - [j196]Xiaoman Duan, Xiao Fan Ding, Naitao Li, Fang-Xiang Wu, Xiongbiao Chen, Ning Zhu:
Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data. Comput. Biol. Medicine 165: 107473 (2023) - [j195]Yuchen Zhang, Xiujuan Lei, Cai Dai, Yi Pan, Fang-Xiang Wu:
Identify potential circRNA-disease associations through a multi-objective evolutionary algorithm. Inf. Sci. 647: 119437 (2023) - [j194]Rayyan Azam Khan, Minghan Fu, Brent Burbridge, Yigang Luo, Fang-Xiang Wu:
A multi-modal deep neural network for multi-class liver cancer diagnosis. Neural Networks 165: 553-561 (2023) - [j193]Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu:
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 586-594 (2023) - [j192]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Biomarker Identification via a Factorization Machine-Based Neural Network With Binary Pairwise Encoding. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2136-2146 (2023) - [j191]Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu:
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics 27(6): 2864-2875 (2023) - 2022
- [j190]Ming Fang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
A Deep Neural Network for Cervical Cell Classification Based on Cytology Images. IEEE Access 10: 130968-130980 (2022) - [j189]Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu:
RMS-UNet: Residual multi-scale UNet for liver and lesion segmentation. Artif. Intell. Medicine 124: 102231 (2022) - [j188]Ying An, Xianyun Xia, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang:
Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. Artif. Intell. Medicine 127: 102282 (2022) - [j187]Cui-Xiang Lin, Hong-Dong Li, Chao Deng, Weisheng Liu, Shannon Erhardt, Fang-Xiang Wu, Xing-Ming Zhao, Yuanfang Guan, Jun Wang, Daifeng Wang, Bin Hu, Jianxin Wang:
An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease. Briefings Bioinform. 23(1) (2022) - [j186]Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting drug-drug interactions by graph convolutional network with multi-kernel. Briefings Bioinform. 23(1) (2022) - [j185]Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li:
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23(1) (2022) - [j184]Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, Min Li:
Biomedical data, computational methods and tools for evaluating disease-disease associations. Briefings Bioinform. 23(2) (2022) - [j183]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations. Briefings Bioinform. 23(3) (2022) - [j182]Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu, Min Li:
HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. 23(3) (2022) - [j181]Caimao Zhou, Dejun Peng, Bo Liao, Ranran Jia, Fang-Xiang Wu:
ACP_MS: prediction of anticancer peptides based on feature extraction. Briefings Bioinform. 23(6) (2022) - [j180]Cheng Yan, Guihua Duan, Na Li, Lishen Zhang, Fang-Xiang Wu, Jianxin Wang:
PDMDA: predicting deep-level miRNA-disease associations with graph neural networks and sequence features. Bioinform. 38(8): 2226-2234 (2022) - [j179]Chunyan Fan, Xiujuan Lei, Jiaojiao Tie, Yuchen Zhang, Fang-Xiang Wu, Yi Pan:
CircR2Disease v2.0: An Updated Web Server for Experimentally Validated circRNA-disease Associations and Its Application. Genom. Proteom. Bioinform. 20(3): 435-445 (2022) - [j178]Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu:
Multi-scale GAN with residual image learning for removing heterogeneous blur. IET Image Process. 16(9): 2412-2431 (2022) - [j177]Rayyan Azam Khan, Yigang Luo, Fang-Xiang Wu:
Machine learning based liver disease diagnosis: A systematic review. Neurocomputing 468: 492-509 (2022) - [j176]Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda:
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469: 330-331 (2022) - [j175]Wutao Yin, Longhai Li, Fang-Xiang Wu:
Deep learning for brain disorder diagnosis based on fMRI images. Neurocomputing 469: 332-345 (2022) - [j174]Yifan Wu, Min Zeng, Zhihui Fei, Ying Yu, Fang-Xiang Wu, Min Li:
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing 469: 376-383 (2022) - [j173]Wutao Yin, Longhai Li, Fang-Xiang Wu:
A semi-supervised autoencoder for autism disease diagnosis. Neurocomputing 483: 140-147 (2022) - [j172]Wutao Yin, Longhai Li, Fang-Xiang Wu:
Corrigendum to "Deep learning for brain disorder diagnosis based on fMRI images" [Neurocomputing 469 (2022) 332-345]. Neurocomputing 509: 271 (2022) - [j171]Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 168-179 (2022) - [j170]Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 953-965 (2022) - [j169]Haonan Feng, Ruiqing Zheng, Jianxin Wang, Fang-Xiang Wu, Min Li:
NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1042-1049 (2022) - [j168]Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang:
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1459-1471 (2022) - [j167]Xiangmao Meng, Ju Xiang, Ruiqing Zheng, Fang-Xiang Wu, Min Li:
DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1592-1602 (2022) - [j166]Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li:
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 1993-2002 (2022) - [j165]Zhongjian Cheng, Cheng Yan, Fang-Xiang Wu, Jianxin Wang:
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2208-2218 (2022) - [j164]Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting miRNA-Disease Associations Based On Multi-View Variational Graph Auto-Encoder With Matrix Factorization. IEEE J. Biomed. Health Informatics 26(1): 446-457 (2022) - [j163]Xiangmao Meng, Wenkai Li, Ju Xiang, Hayat Dino Bedru, Wenkang Wang, Fang-Xiang Wu, Min Li:
Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 3504-3514 (2022) - 2021
- [j162]Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang:
Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22(2): 1604-1619 (2021) - [j161]Jiancheng Zhong, Yusui Sun, Minzhu Xie, Wei Peng, Chushu Zhang, Fang-Xiang Wu, Jianxin Wang:
Proteoform characterization based on top-down mass spectrometry. Briefings Bioinform. 22(2): 1729-1750 (2021) - [j160]Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang:
Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics. Briefings Bioinform. 22(3) (2021) - [j159]Zhongqi Wen, Cheng Yan, Guihua Duan, Suning Li, Fang-Xiang Wu, Jianxin Wang:
A survey on predicting microbe-disease associations: biological data and computational methods. Briefings Bioinform. 22(3) (2021) - [j158]You Zou, Yuejie Zhu, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Parallel computing for genome sequence processing. Briefings Bioinform. 22(5) (2021) - [j157]Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang:
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36(24): 5656-5664 (2021) - [j156]Hong-Dong Li, Changhuo Yang, Zhimin Zhang, Mengyun Yang, Fang-Xiang Wu, Gilbert S. Omenn, Jianxin Wang:
IsoResolve: predicting splice isoform functions by integrating gene and isoform-level features with domain adaptation. Bioinform. 37(4): 522-530 (2021) - [j155]Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu:
Identifying cell types from single-cell data based on similarities and dissimilarities between cells. BMC Bioinform. 22(1): 255 (2021) - [j154]Jin Liu, Dejiao Zeng, Rui Guo, Mingming Lu, Fang-Xiang Wu, Jianxin Wang:
MMHGE: detecting mild cognitive impairment based on multi-atlas multi-view hybrid graph convolutional networks and ensemble learning. Clust. Comput. 24(1): 103-113 (2021) - [j153]Shuting Dong, Jianxin Wang, Hongze Luo, Haodong Wang, Fang-Xiang Wu:
A dynamic predictor selection algorithm for predicting stock market movement. Expert Syst. Appl. 186: 115836 (2021) - [j152]Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang-Xiang Wu, Jianxin Wang:
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. 19(2): 282-291 (2021) - [j151]Wutao Yin, Sakib Mostafa, Fang-Xiang Wu:
Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning. J. Comput. Biol. 28(2): 146-165 (2021) - [j150]Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li:
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28(7): 687-700 (2021) - [j149]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021) - [j148]Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 347-354 (2021) - [j147]Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 431-442 (2021) - [j146]Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan:
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 463-471 (2021) - [j145]Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 575-582 (2021) - [j144]Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
MCHMDA: Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 611-620 (2021) - [j143]Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1070-1081 (2021) - [j142]Ying An, Nengjun Huang, Xianlai Chen, Fang-Xiang Wu, Jianxin Wang:
High-Risk Prediction of Cardiovascular Diseases via Attention-Based Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1093-1105 (2021) - [j141]Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang:
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1492-1503 (2021) - [j140]Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li:
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j139]Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2353-2363 (2021) - [j138]Xingyi Li, Ju Xiang, Jianxin Wang, Jinyan Li, Fang-Xiang Wu, Min Li:
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2483-2491 (2021) - [j137]Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang:
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(3): 891-899 (2021) - [j136]Bo Liu, Fang-Xiang Wu, Xiufen Zou:
scASK: A Novel Ensemble Framework for Classifying Cell Types Based on Single-cell RNA-seq Data. IEEE J. Biomed. Health Informatics 25(8): 3230-3239 (2021) - [j135]Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine. IEEE J. Biomed. Health Informatics 25(11): 4079-4088 (2021) - [j134]Ping Luo, Bolin Chen, Bo Liao, Fang-Xiang Wu:
Predicting disease-associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl. Discov. 11(2) (2021) - 2020
- [j133]Wen Zhu, Kaimei Huang, Xiaofang Xiao, Bo Liao, Yuhua Yao, Fang-Xiang Wu:
ALSBMF: Predicting lncRNA-Disease Associations by Alternating Least Squares Based on Matrix Factorization. IEEE Access 8: 26190-26198 (2020) - [j132]Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. Bioinform. 36(3): 920-921 (2020) - [j131]Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020) - [j130]Ali Akbar Jamali, Anthony J. Kusalik, Fang-Xiang Wu:
MDIPA: a microRNA-drug interaction prediction approach based on non-negative matrix factorization. Bioinform. 36(20): 5061-5067 (2020) - [j129]Cheng Yan, Fang-Xiang Wu, Jianxin Wang, Guihua Duan:
PESM: predicting the essentiality of miRNAs based on gradient boosting machines and sequences. BMC Bioinform. 21(1): 111 (2020) - [j128]Xingyu Liao, Xin Gao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang:
RepAHR: an improved approach for de novo repeat identification by assembly of the high-frequency reads. BMC Bioinform. 21(1): 463 (2020) - [j127]Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu:
Ensemble disease gene prediction by clinical sample-based networks. BMC Bioinform. 21-S(2): 79 (2020) - [j126]Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li:
MADA: a web service for analysing DNA methylation array data. BMC Bioinform. 21-S(6): 403 (2020) - [j125]Yulian Ding, Bolin Chen, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Predicting novel CircRNA-disease associations based on random walk and logistic regression model. Comput. Biol. Chem. 87: 107287 (2020) - [j124]Xiaoshu Zhu, Lilu Guo, Rongyuan Li, Yunpei Xu, Fang-Xiang Wu, Xiaoqing Peng, Hong-Dong Li:
A network enhancement-based method for clustering of single cell RNA-seq data. Int. J. Data Min. Bioinform. 24(4): 306-325 (2020) - [j123]Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang:
Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing 384: 231-242 (2020) - [j122]Jin Liu, Yi Pan, Fang-Xiang Wu, Jianxin Wang:
Enhancing the feature representation of multi-modal MRI data by combining multi-view information for MCI classification. Neurocomputing 400: 322-332 (2020) - [j121]Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang:
A survey on U-shaped networks in medical image segmentations. Neurocomputing 409: 244-258 (2020) - [j120]Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang:
Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. 65: 101791 (2020) - [j119]Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. 32(11): 6545-6558 (2020) - [j118]Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang:
Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 177-188 (2020) - [j117]Tao Li, Xiankai Zhang, Feng Luo, Fang-Xiang Wu, Jianxin Wang:
MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 220-225 (2020) - [j116]Xiujuan Lei, Xiaoqin Yang, Fang-Xiang Wu:
Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 495-505 (2020) - [j115]Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 728-738 (2020) - [j114]Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020) - [j113]Binbin Wu, Min Li, Xingyu Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 847-857 (2020) - [j112]Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan:
GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 877-886 (2020) - [j111]Peng Ni, Jianxin Wang, Ping Zhong, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Constructing Disease Similarity Networks Based on Disease Module Theory. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 906-915 (2020) - [j110]Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan:
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1032-1041 (2020) - [j109]Cheng Yan, Guihua Duan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
BRWMDA: Predicting Microbe-Disease Associations Based on Similarities and Bi-Random Walk on Disease and Microbe Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1595-1604 (2020) - [j108]Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24(8): 2420-2429 (2020) - [j107]Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang:
Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE J. Biomed. Health Informatics 24(11): 3215-3225 (2020) - 2019
- [j106]Sakib Mostafa, Lingkai Tang, Fang-Xiang Wu:
Diagnosis of Autism Spectrum Disorder Based on Eigenvalues of Brain Networks. IEEE Access 7: 128474-128486 (2019) - [j105]Min Li, Hao Gao, Jianxin Wang, Fang-Xiang Wu:
Control principles for complex biological networks. Briefings Bioinform. 20(6): 2253-2266 (2019) - [j104]Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
SCOP: a novel scaffolding algorithm based on contig classification and optimization. Bioinform. 35(7): 1142-1150 (2019) - [j103]Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. 35(11): 1893-1900 (2019) - [j102]Ruiqing Zheng, Min Li, Zhenlan Liang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. 35(19): 3642-3650 (2019) - [j101]Ping Luo, Yuanyuan Li, Li-Ping Tian, Fang-Xiang Wu:
Enhancing the prediction of disease-gene associations with multimodal deep learning. Bioinform. 35(19): 3735-3742 (2019) - [j100]Xiujuan Lei, Ming Fang, Ling Guo, Fang-Xiang Wu:
Protein complex detection based on flower pollination mechanism in multi-relation reconstructed dynamic protein networks. BMC Bioinform. 20-S(3): 63-74 (2019) - [j99]Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. 20-S(15): 515 (2019) - [j98]Cheng Yan, Guihua Duan, Yi Pan, Fang-Xiang Wu, Jianxin Wang:
DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels. BMC Bioinform. 20-S(15): 538 (2019) - [j97]Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan:
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. 20-S(16): 506:1-506:10 (2019) - [j96]Cheng Yan, Guihua Duan, Fang-Xiang Wu, Jianxin Wang:
IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning. BMC Bioinform. 20-S(23): 651 (2019) - [j95]Fang-Xiang Wu, Min Li:
Deep learning for biological/clinical data. Neurocomputing 324: 1-2 (2019) - [j94]Liangliang Liu, Fang-Xiang Wu, Jianxin Wang:
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation. Neurocomputing 350: 117-127 (2019) - [j93]Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, Jianxin Wang:
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics 91 (2019) - [j92]Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu:
Controllability and Its Applications to Biological Networks. J. Comput. Sci. Technol. 34(1): 16-34 (2019) - [j91]Mengyun Yang, Huimin Luo, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Overlap matrix completion for predicting drug-associated indications. PLoS Comput. Biol. 15(12) (2019) - [j90]Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Current challenges and solutions of de novo assembly. Quant. Biol. 7(2): 90-109 (2019) - [j89]Ping Luo, Li-Ping Tian, Jishou Ruan, Fang-Xiang Wu:
Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 222-232 (2019) - [j88]Cheng Yan, Jianxin Wang, Peng Ni, Wei Lan, Fang-Xiang Wu, Yi Pan:
DNRLMF-MDA: Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 233-243 (2019) - [j87]Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 417-424 (2019) - [j86]Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 764-773 (2019) - [j85]Min Li, Zhihui Fei, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1193-1202 (2019) - [j84]Min Li, Peng Ni, Xiaopei Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1386-1397 (2019) - [j83]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan:
Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1890-1900 (2019) - 2018
- [j82]Yifeng Li, Fang-Xiang Wu, Alioune Ngom:
A review on machine learning principles for multi-view biological data integration. Briefings Bioinform. 19(2): 325-340 (2018) - [j81]Chunyan Fan, Xiujuan Lei, Zengqiang Fang, Qinghua Jiang, Fang-Xiang Wu:
CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases. Database J. Biol. Databases Curation 2018: bay044 (2018) - [j80]Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu:
CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis. Bioinform. 34(8): 1428-1430 (2018) - [j79]Min Li, Jie Yang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization. Bioinform. 34(9): 1597-1599 (2018) - [j78]Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang:
Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. 34(19): 3357-3364 (2018) - [j77]Cheng Yan, Jianxin Wang, Fang-Xiang Wu:
DWNN-RLS: regularized least squares method for predicting circRNA-disease associations. BMC Bioinform. 19-S(19): 73-81 (2018) - [j76]Xiujuan Lei, Ming Fang, Fang-Xiang Wu, Luonan Chen:
Improved flower pollination algorithm for identifying essential proteins. BMC Syst. Biol. 12(4): 129-140 (2018) - [j75]Fang-Xiang Wu, Jianxin Wang, Min Li, Haiying Wang:
Biomolecular Networks for Complex Diseases. Complex. 2018: 4210160:1-4210160:3 (2018) - [j74]Li-Ping Tian, Ping Luo, Haiying Wang, Huiru Zheng, Fang-Xiang Wu:
CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing 275: 2031-2040 (2018) - [j73]Xiujuan Lei, Yuchen Zhang, Shi Cheng, Fang-Xiang Wu, Witold Pedrycz:
Topology potential based seed-growth method to identify protein complexes on dynamic PPI data. Inf. Sci. 425: 140-153 (2018) - [j72]Li-Ping Tian, Venkat Palgat, Fang-Xiang Wu:
M-Matrix-Based State Observer Design for Genetic Regulatory Networks With Mixed Delays. IEEE Trans. Circuits Syst. II Express Briefs 65-II(8): 1054-1058 (2018) - [j71]Jin Liu, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 624-632 (2018) - [j70]Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan:
Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1649-1659 (2018) - [j69]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Fang-Xiang Wu, Yi Pan:
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1774-1782 (2018) - 2017
- [j68]Xiaoqing Peng, Jianxin Wang, Wei Peng, Fang-Xiang Wu, Yi Pan:
Protein-protein interactions: detection, reliability assessment and applications. Briefings Bioinform. 18(5): 798-819 (2017) - [j67]Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu:
BOSS: a novel scaffolding algorithm based on an optimized scaffold graph. Bioinform. 33(2): 169-176 (2017) - [j66]Wei Lan, Min Li, Kaijie Zhao, Jin Liu, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
LDAP: a web server for lncRNA-disease association prediction. Bioinform. 33(3): 458-460 (2017) - [j65]Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan, Fang-Xiang Wu:
VAliBS: a visual aligner for bisulfite sequences. BMC Bioinform. 18(S-12): 91-98 (2017) - [j64]Min Li, Binbin Wu, Xiaodong Yan, Junwei Luo, Yi Pan, Fang-Xiang Wu, Jianxin Wang:
PECC: Correcting contigs based on paired-end read distribution. Comput. Biol. Chem. 69: 178-184 (2017) - [j63]Cheng Yan, Jianxin Wang, Wei Lan, Fang-Xiang Wu, Yi Pan:
SDTRLS: Predicting Drug-Target Interactions for Complex Diseases Based on Chemical Substructures. Complex. 2017: 2713280:1-2713280:10 (2017) - [j62]Jie Zhao, Xiujuan Lei, Fang-Xiang Wu:
Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC. Complex. 2017: 4120506:1-4120506:11 (2017) - [j61]Jin Liu, Min Li, Yi Pan, Wei Lan, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang:
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. 2017: 8362741:1-8362741:27 (2017) - [j60]Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu:
NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 337-344 (2017) - [j59]Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu:
United Complex Centrality for Identification of Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 370-380 (2017) - [j58]Jiancheng Zhong, Jianxin Wang, Xiaojun Ding, Zhen Zhang, Min Li, Fang-Xiang Wu, Yi Pan:
Protein Inference from the Integration of Tandem MS Data and Interactome Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1399-1409 (2017) - 2016
- [j57]Zhen Zhang, Jianxin Wang, Junwei Luo, Xiaojun Ding, Jiancheng Zhong, Jun Wang, Fang-Xiang Wu, Yi Pan:
Sprites: detection of deletions from sequencing data by re-aligning split reads. Bioinform. 32(12): 1788-1796 (2016) - [j56]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fang-Xiang Wu, Yi Pan:
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm. Bioinform. 32(17): 2664-2671 (2016) - [j55]Min Li, Yu Tang, Xuehong Wu, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks. Biosyst. 150: 78-86 (2016) - [j54]Gaoshi Li, Min Li, Jianxin Wang, Jingli Wu, Fang-Xiang Wu, Yi Pan:
Predicting essential proteins based on subcellular localization, orthology and PPI networks. BMC Bioinform. 17(S-8): 279 (2016) - [j53]Xiujuan Lei, Yulian Ding, Fang-Xiang Wu:
Detecting protein complexes from DPINs by density based clustering with Pigeon-Inspired Optimization Algorithm. Sci. China Inf. Sci. 59(7): 070103:1-070103:14 (2016) - [j52]Wei Lan, Jianxin Wang, Min Li, Jin Liu, Yaohang Li, Fang-Xiang Wu, Yi Pan:
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206: 50-57 (2016) - [j51]Xiujuan Lei, Fei Wang, Fang-Xiang Wu, Aidong Zhang, Witold Pedrycz:
Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks. Inf. Sci. 329: 303-316 (2016) - 2015
- [j50]Dingjie Wang, Suoqin Jin, Fang-Xiang Wu, Xiufen Zou:
Estimation of control Energy and control Strategies for Complex Networks. Adv. Complex Syst. 18(7-8): 1550018:1-1550018:23 (2015) - [j49]Wei Peng, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison. Algorithms Mol. Biol. 10: 21 (2015) - [j48]Junwei Luo, Jianxin Wang, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan:
EPGA: de novo assembly using the distributions of reads and insert size. Bioinform. 31(6): 825-833 (2015) - [j47]Junwei Luo, Jianxin Wang, Weilong Li, Zhen Zhang, Fang-Xiang Wu, Min Li, Yi Pan:
EPGA2: memory-efficient de novo assembler. Bioinform. 31(24): 3988-3990 (2015) - [j46]Yu Tang, Min Li, Jianxin Wang, Yi Pan, Fang-Xiang Wu:
CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks. Biosyst. 127: 67-72 (2015) - [j45]Jun Ren, Jianxin Wang, Min Li, Fang-Xiang Wu:
Discovering essential proteins based on PPI network and protein complex. Int. J. Data Min. Bioinform. 12(1): 24-43 (2015) - [j44]Wei Peng, Jianxin Wang, Yingjiao Cheng, Yu Lu, Fang-Xiang Wu, Yi Pan:
UDoNC: An Algorithm for Identifying Essential Proteins Based on Protein Domains and Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 276-288 (2015) - [j43]Min Li, Yu Lu, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 372-383 (2015) - [j42]Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu, Yi Pan:
ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 815-822 (2015) - 2014
- [j41]Bolin Chen, Weiwei Fan, Juan Liu, Fang-Xiang Wu:
Identifying protein complexes and functional modules - from static PPI networks to dynamic PPI networks. Briefings Bioinform. 15(2): 177-194 (2014) - [j40]Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu:
Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. 8: 35 (2014) - [j39]Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets. BMC Syst. Biol. 8(S-3): S1 (2014) - [j38]Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li:
Prediction of disease genes using tissue-specified gene-gene network. BMC Syst. Biol. 8(S-3): S3 (2014) - [j37]Li-Ping Tian, Zhi-Jun Wang, Amin Mohammadbagheri, Fang-Xiang Wu:
State Observer Design for Delayed Genetic Regulatory Networks. Comput. Math. Methods Medicine 2014: 761562:1-761562:7 (2014) - [j36]Weiwei Fan, Bolin Chen, Gopalan Selvaraj, Fang-Xiang Wu:
Discovering biological patterns from short time-series gene expression profiles with integrating PPI data. Neurocomputing 145: 3-13 (2014) - [j35]Bihai Zhao, Jianxin Wang, Min Li, Fang-Xiang Wu, Yi Pan:
Detecting Protein Complexes Basedon Uncertain Graph Model. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 486-497 (2014) - [j34]Li-Xin Li, Lin Wu, Hui-Sheng Zhang, Fang-Xiang Wu:
A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1855-1863 (2014) - 2013
- [j33]Juan Liu, Xinghuo Ye, Fang-Xiang Wu:
Characterizing dynamic regulatory programs in mouse lung development and their potential association with tumourigenesis via miRNA-TF-mRNA circuits. BMC Syst. Biol. 7(S-2): S11 (2013) - [j32]Li-Ping Tian, Zhong-Ke Shi, Fang-Xiang Wu:
Complexity Analysis and Parameter Estimation of Dynamic Metabolic Systems. Comput. Math. Methods Medicine 2013: 698341:1-698341:8 (2013) - [j31]Zhong-Ke Shi, Fang-Xiang Wu:
Robust identification method for nonlinear model structures and its application to high-performance aircraft. Int. J. Syst. Sci. 44(6): 1040-1051 (2013) - 2012
- [j30]Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu:
Inference of gene regulatory subnetworks from time course gene expression data. BMC Bioinform. 13(S-9): S3 (2012) - [j29]Wei Peng, Jianxin Wang, Weiping Wang, Qing Liu, Fang-Xiang Wu, Yi Pan:
Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks. BMC Syst. Biol. 6: 87 (2012) - [j28]Lili Han, Fang-Xiang Wu, Jie Sheng, Feng Ding:
Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model. Math. Comput. Simul. 82(5): 777-789 (2012) - [j27]Fang-Xiang Wu:
Stability and Bifurcation of Ring-Structured Genetic Regulatory Networks With Time Delays. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(6): 1312-1320 (2012) - [j26]Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
Inference of Biological S-System Using the Separable Estimation Method and the Genetic Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 955-965 (2012) - [j25]Jianxin Wang, Yuannan Huang, Fang-Xiang Wu, Yi Pan:
Symmetry Compression Method for Discovering Network Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1776-1789 (2012) - [j24]Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
Reverse engineering of gene regulatory networks from biological data. WIREs Data Mining Knowl. Discov. 2(5): 365-385 (2012) - 2011
- [j23]Zheng Yuan, Jin-Hong Shi, Wenjun Lin, Bolin Chen, Fang-Xiang Wu:
Features-Based Deisotoping Method for Tandem Mass Spectra. Adv. Bioinformatics 2011: 210805:1-210805:12 (2011) - [j22]Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu:
SVM-RFE based feature selection for tandem mass spectrum quality assessment. Int. J. Data Min. Bioinform. 5(1): 73-88 (2011) - [j21]Fang-Xiang Wu:
Global and Robust Stability Analysis of Genetic Regulatory Networks With Time-Varying Delays and Parameter Uncertainties. IEEE Trans. Biomed. Circuits Syst. 5(4): 391-398 (2011) - [j20]Fang-Xiang Wu, Jun Huan:
Guest Editorial: Special Focus on Bioinformatics and Systems Biology. IEEE ACM Trans. Comput. Biol. Bioinform. 8(2): 292-293 (2011) - [j19]Long Cheng, Zeng-Guang Hou, Yingzi Lin, Min Tan, Wenjun Chris Zhang, Fang-Xiang Wu:
Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks. IEEE Trans. Neural Networks 22(5): 714-726 (2011) - [j18]Fang-Xiang Wu:
Delay-Independent Stability of Genetic Regulatory Networks. IEEE Trans. Neural Networks 22(11): 1685-1693 (2011) - 2010
- [j17]Fang-Xiang Wu, Lei Mu, Zhong-Ke Shi:
Estimation of parameters in rational reaction rates of molecular biological systems via weighted least squares. Int. J. Syst. Sci. 41(1): 73-80 (2010) - [j16]Fang-Xiang Wu, Wen-Jun Zhang:
Dynamic-model-based method for selecting significantly expressed genes from time-course expression profiles. IEEE Trans. Inf. Technol. Biomed. 14(1): 16-22 (2010) - [j15]An-Min Zou, Jin-Hong Shi, Jiarui Ding, Fang-Xiang Wu:
Charge state determination of peptide tandem mass spectra using support vector machine (SVM). IEEE Trans. Inf. Technol. Biomed. 14(3): 552-558 (2010) - 2009
- [j14]Fang-Xiang Wu:
Delay-Independent Stability of Genetic Regulatory Networks with Time Delays. Adv. Complex Syst. 12(1): 3-19 (2009) - [j13]An-Min Zou, Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier:
Quality assessment of tandem mass spectra using support vector machine (SVM). BMC Bioinform. 10(S-1) (2009) - [j12]Chushin Koh, Fang-Xiang Wu, Gopalan Selvaraj, Anthony J. Kusalik:
Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks. EURASIP J. Bioinform. Syst. Biol. 2009 (2009) - [j11]Fang-Xiang Wu, Zhonghang Xia, Lei Mu:
Finding Significantly Expressed genes from time-course expression profiles. Int. J. Bioinform. Res. Appl. 5(1): 50-63 (2009) - [j10]Xiaohua Hu, Michael K. Ng, Fang-Xiang Wu, Bahrad A. Sokhansanj:
Mining, Modeling, and Evaluation of Subnetworks From Large Biomolecular Networks and Its Comparison Study. IEEE Trans. Inf. Technol. Biomed. 13(2): 184-194 (2009) - 2008
- [j9]Fang-Xiang Wu:
Genetic weighted k-means algorithm for clustering large-scale gene expression data. BMC Bioinform. 9(S-6) (2008) - [j8]Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier:
Quality assessment of peptide tandem mass spectra. BMC Bioinform. 9(S-6) (2008) - [j7]Fang-Xiang Wu:
Gene Regulatory Network modelling: a state-space approach. Int. J. Data Min. Bioinform. 2(1): 1-14 (2008) - [j6]Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier:
An approach to assessing peptide mass spectral quality without prior information. Int. J. Funct. Informatics Pers. Medicine 1(2): 140-155 (2008) - 2007
- [j5]Xiaohua Hu, Fang-Xiang Wu:
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks. BMC Bioinform. 8 (2007) - 2006
- [j4]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
Determination of the minimum number of microarray experiments for discovery of gene expression patterns. BMC Bioinform. 7(S-4) (2006) - [j3]Chenhong Zhang, Mikelis G. Bickis, Fang-Xiang Wu, Anthony J. Kusalik:
Optimally-connected Hidden Markov Models for Predicting Mhc-binding Peptides. J. Bioinform. Comput. Biol. 4(5): 959-980 (2006) - 2005
- [j2]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
Dynamic Model-based Clustering for Time-course Gene Expression Data. J. Bioinform. Comput. Biol. 3(4): 821-836 (2005) - [j1]Fang-Xiang Wu, Wen-Jun Zhang, Q. Li, Puren R. Ouyang, Z. X. Zhou:
Control of hybrid Machines with 2-DOF for trajectory tracking problems. IEEE Trans. Control. Syst. Technol. 13(2): 338-342 (2005)
Conference and Workshop Papers
- 2024
- [c104]Minghan Fu, Fang-Xiang Wu:
QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning. AAAI 2024: 12072-12081 - 2023
- [c103]Kang Jiang, Bo Liao, Petros Papagerakis, Fang-Xiang Wu:
Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. BIBM 2023: 228-232 - [c102]Yajun Liu, Ru Li, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu:
Prediction of piRNA-mRNA interactions based on an interactive inference network. BIBM 2023: 251-254 - [c101]Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - 2022
- [c100]Yajun Liu, Yulian Ding, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu:
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism. BIBM 2022: 158-161 - [c99]Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li:
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM 2022: 194-199 - [c98]Cheng Yan, Guihua Duan, Fang-Xiang Wu:
EMDS: predicting essential miRNAs based on deep learning and sequences. BIBM 2022: 613-618 - [c97]Rawshon Raha, Yulian Ding, Qiang Liu, Fang-Xiang Wu:
Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties. BIBM 2022: 3122-3129 - 2021
- [c96]Min Zeng, Nian Wang, Yifan Wu, Yiming Li, Fang-Xiang Wu, Min Li:
Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM 2021: 98-103 - [c95]Wutao Yin, Longhai Li, Fang-Xiang Wu:
A Graph Attention Neural Network for Diagnosing ASD with fMRI Data. BIBM 2021: 1131-1136 - [c94]Wenjing Zhang, Yuting Tan, Fang-Xiang Wu:
Single Cell Clustering with Sparse Similarity Matrix Learning. BIBM 2021: 1165-1170 - [c93]Zohair Ahmed, Junwen Duan, Fang-Xiang Wu, Jianxin Wang:
EFCA: An Extended Formal Concept Analysis Method for Aspect Extraction in Healthcare Informatics. BIBM 2021: 1241-1244 - 2020
- [c92]Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li:
A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM 2020: 281-286 - [c91]Hao Gao, Min Li, Fang-Xiang Wu:
SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA 2020: 26-37 - [c90]Hongyu Guo, Wutao Yin, Sakib Mostafa, Fang-Xiang Wu:
Diagnosis of ASD from rs-fMRI Images Based on Brain Dynamic Networks. ISBRA 2020: 166-177 - [c89]Na Li, Guihua Duan, Cheng Yan, Fang-Xiang Wu, Jianxin Wang:
MiRNA-Disease Associations Prediction Based on Negative Sample Selection and Multi-layer Perceptron. ISBRA 2020: 178-188 - 2019
- [c88]Fei Wang, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Human Protein Complex Signatures for Drug Repositioning. BCB 2019: 42-50 - [c87]Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li:
DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM 2019: 111-116 - [c86]Lan Huang, Huimin Luo, Mengyun Yang, Fang-Xiang Wu, Jianxin Wang:
Drug and disease similarity calculation platform for drug repositioning. BIBM 2019: 124-129 - [c85]Xiangmao Meng, Xiaoqing Peng, Fang-Xiang Wu, Min Li:
Detecting protein complex based on hierarchical compressing network embedding. BIBM 2019: 215-218 - [c84]Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Xingyu Liao, Fang-Xiang Wu, Xiaoqing Peng:
A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data. BIBM 2019: 261-266 - [c83]Xingyu Liao, Xiankai Zhang, Fang-Xiang Wu, Jianxin Wang:
de novo repeat detection based on the third generation sequencing reads. BIBM 2019: 431-436 - [c82]Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582 - [c81]Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu, Jianxin Wang:
Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. BIBM 2019: 807-811 - [c80]Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu, Min Li:
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM 2019: 812-817 - [c79]Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang:
Tentative diagnosis prediction via deep understanding of patient narratives. BIBM 2019: 1000-1003 - [c78]Sakib Mostafa, Wutao Yin, Fang-Xiang Wu:
Autoencoder Based Methods for Diagnosis of Autism Spectrum Disorder. ICCABS 2019: 39-51 - [c77]Yuanyuan Li, Ping Luo, Yi Lu, Fang-Xiang Wu:
Improved Spectral Clustering Method for Identifying Cell Types from Single-Cell Data. ICIC (2) 2019: 177-189 - [c76]Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu, Min Li:
Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. ICIC (2) 2019: 529-534 - [c75]Cheng Yan, Guihua Duan, Yayan Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
IDNDDI: An Integrated Drug Similarity Network Method for Predicting Drug-Drug Interactions. ISBRA 2019: 89-99 - 2018
- [c74]Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan:
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM 2018: 583-588 - [c73]Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu, Jianxin Wang:
Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM 2018: 864-868 - [c72]Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang:
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) 2018: 223-226 - [c71]Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu, Min Li:
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA 2018: 38-48 - [c70]Zhen Zhang, Jianxin Wang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan:
Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy. ISBRA 2018: 139-150 - [c69]Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu:
Predicting Gene-Disease Associations with Manifold Learning. ISBRA 2018: 265-271 - [c68]Ping Luo, Li-Ping Tian, Bolin Chen, Qianghua Xiao, Fang-Xiang Wu:
Predicting Disease Genes from Clinical Single Sample-Based PPI Networks. IWBBIO (1) 2018: 247-258 - 2017
- [c67]Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu, Yi Pan:
MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. BIBM 2017: 216-221 - [c66]Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei:
An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM 2017: 861-864 - [c65]Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang:
LSLS: A Novel Scaffolding Method Based on Path Extension. ICIC (2) 2017: 428-438 - [c64]Peng Ni, Min Li, Ping Zhong, Guihua Duan, Jianxin Wang, Yaohang Li, Fang-Xiang Wu:
Relating Diseases Based on Disease Module Theory. ISBRA 2017: 24-33 - 2016
- [c63]Wei Lan, Jianxin Wang, Min Li, Chengqian Lu, Fang-Xiang Wu, Yi Pan:
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. BIBM 2016: 27-32 - [c62]Lin Wu, Lingkai Tang, Min Li, Jianxin Wang, Fang-Xiang Wu:
The MSS of complex networks with centrality based preference and its application to biomolecular networks. BIBM 2016: 229-234 - [c61]Xiangmao Meng, Min Li, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Construction of the spatial and temporal active protein interaction network for identifying protein complexes. BIBM 2016: 631-636 - [c60]Xiujuan Lei, Yuchen Zhang, Fang-Xiang Wu, Aidong Zhang:
Mining protein complexes based on topology potential from weighted dynamic PPI network. BIBM 2016: 735-738 - [c59]Ping Luo, Li-Ping Tian, Jishou Ruan, Fang-Xiang Wu:
Identifying disease genes from PPI networks weighted by gene expression under different conditions. BIBM 2016: 1259-1264 - [c58]Jie Zhao, Xiujuan Lei, Fang-Xiang Wu:
Identifying protein complexes in dynamic protein-protein interaction networks based on Cuckoo Search algorithm. BIBM 2016: 1288-1295 - [c57]Xiujuan Lei, Huan Li, Fang-Xiang Wu:
Detecting protein complexes from DPINs by OPTICS based on particle swarm optimization. BIBM 2016: 1814-1821 - 2015
- [c56]Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu:
A two-step logistic regression algorithm for identifying individual-cancer-related genes. BIBM 2015: 195-200 - [c55]Bihai Zhao, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Predicting Protein Functions Based on Dynamic Protein Interaction Networks. ISBRA 2015: 390-401 - 2014
- [c54]Xiujuan Lei, Fang-Xiang Wu, Fei Wang, Aidong Zhang:
Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm. BIBM 2014: 75-81 - [c53]Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu:
NovoPair: De novo peptide sequencing for tandem mass spectra pair. BIBM 2014: 150-155 - [c52]Bolin Chen, Min Li, Jianxin Wang, Fang-Xiang Wu:
A logistic regression based algorithm for identifying human disease genes. BIBM 2014: 197-200 - [c51]Lin Wu, Yichao Shen, Min Li, Fang-Xiang Wu:
Drug Target Identification Based on Structural Output Controllability of Complex Networks. ISBRA 2014: 188-199 - [c50]Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu:
NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra. ISBRA 2014: 200-211 - [c49]Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu, Yi Pan:
Identification of Essential Proteins by Using Complexes and Interaction Network. ISBRA 2014: 255-265 - [c48]Xiaojun Ding, Haihua Gu, Zhen Zhang, Min Li, Fang-Xiang Wu:
Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data. ISBRA 2014: 278-288 - 2013
- [c47]Xiujuan Lei, Jianfang Tian, Fang-Xiang Wu:
PPI modules detection method through ABC-IFC algorithm. BIBM 2013: 3 - [c46]Min Li, Weijie Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Identifying dynamic protein complexes based on gene expression profiles and PPI networks. BIBM 2013: 5 - [c45]Wei Peng, Jianxin Wang, Fang-Xiang Wu:
A dividing-and-matching algorithm to detect conserved protein complexes via local network alignment. BIBM 2013: 78-81 - [c44]Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu, Min Li:
Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks. BIBM 2013: 103-108 - [c43]Yan Yan, Anthony J. Kusalik, Fang-Xiang Wu:
A multi-edge graph based de novo peptide sequencing method for HCD spectra. BIBM 2013: 176-181 - [c42]Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
Robust inference of gene regulatory networks from multiple microarray datasets. BIBM 2013: 544-547 - [c41]Bolin Chen, Jianxin Wang, Fang-Xiang Wu:
Prioritizing human disease genes by multiple data integration. BIBM 2013: 621 - [c40]Bihai Zhao, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Construction of Uncertain Protein-Protein Interaction Networks and Its Applications. ISBRA 2013: 286-297 - 2012
- [c39]Bolin Chen, Jin-Hong Shi, Fang-Xiang Wu:
Not AU protein complexes exhibit dense structures in S. cerevisiae PPI network. BIBM 2012: 1-4 - [c38]Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu:
A hybrid approach of support vector machines with logistic regression for β-turn prediction. BIBM Workshops 2012: 587-593 - [c37]Xijun Liang, Zhonghang Xia, Xinnan Niu, Andrew J. Link, Liping Pang, Fang-Xiang Wu, Hongwei Zhang:
A fuzzy cluster-based algorithm for peptide identification. BIBM Workshops 2012: 602-609 - [c36]Li-Zhi Liu, Fang-Xiang Wu, Wen-Jun Zhang:
Alternating weighted least squares parameter estimation for biological S-systems. ISB 2012: 6-11 - [c35]Li-Ping Tian, Zhong-Ke Shi, Fang-Xiang Wu:
New global stability conditions for genetic regulatory networks with time-varying delays. ISB 2012: 185-191 - [c34]Murtada Khalafallah Elbashir, Jianxin Wang, Fang-Xiang Wu, Min Li:
Sparse kernel logistic regression for β-turns prediction. ISB 2012: 246-251 - [c33]Xinghuo Ye, Juan Liu, Fang-Xiang Wu:
Dynamic miRNA-TF-mRNA circuits in mouse lung development. ISB 2012: 256-262 - 2011
- [c32]Bolin Chen, Yan Yan, Jin-Hong Shi, Shenggui Zhang, Fang-Xiang Wu:
An Improved Graph Entropy-based Method for Identifying Protein Complexes. BIBM 2011: 123-126 - [c31]Jin-Hong Shi, Bolin Chen, Fang-Xiang Wu:
Improve Accuracy of Peptide Identification with Consistency between Peptides. BIBM 2011: 191-196 - [c30]Li-Ping Tian, Fang-Xiang Wu:
Delay-Dependent Stability for Genetic Regulatory Networks. BIBM 2011: 197-201 - [c29]Xijun Liang, Zhonghang Xia, Li-Wei Zhang, Fang-Xiang Wu:
Modeling Gene Regulatory Subnetworks from Time Course Gene Expression Data. BIBM 2011: 216-221 - [c28]Li-Ping Tian, Fang-Xiang Wu:
Globally delay-independent stability of ring-structured genetic regulatory networks. CCECE 2011: 308-311 - [c27]Li-Ping Tian, Li-Zhi Liu, Fang-Xiang Wu:
Estimating parameters in genetic regulatory networks with SUM logic. EMBC 2011: 1371-1374 - [c26]Jian Zhang, Ian McQuillan, Fang-Xiang Wu:
Parallelizing Peptide-Spectrum scoring using modern graphics processing units. ICCABS 2011: 208-213 - 2010
- [c25]Jian Zhang, Ian McQuillan, Fang-Xiang Wu:
Speed improvements of peptide-spectrum matching using SIMD instructions. BIBM Workshops 2010: 83-88 - [c24]Wenjun Chris Lin, Fang-Xiang Wu, Jinhon Shi, Jiarui Ding, Wenjun Zhang:
An adaptive approach to denoising tandem mass spectra. BIBM Workshops 2010: 89-94 - [c23]Jin-Hong Shi, Fang-Xiang Wu:
Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation. BIBM 2010: 234-239 - [c22]Li-Zhi Liu, Fang-Xiang Wu, Li-Li Han, Wen-Jun Zhang:
Structure identification and parameter estimation of biological s-systems. BIBM 2010: 329-334 - 2009
- [c21]Xiyi Hang, Wei Dai, Fang-Xiang Wu:
Subspace pursuit for gene profile classificaiton. GENSiPS 2009: 1-4 - 2008
- [c20]Fang-Xiang Wu:
Stability and oscillation of genetic regulatory networks with time delays. BIBE 2008: 1-6 - [c19]An-Min Zou, Jiarui Ding, Jin-Hong Shi, Fang-Xiang Wu:
Charge state determination of peptide tandem mass spectra using support vector machine (SVM). BIBE 2008: 1-6 - [c18]Fang-Xiang Wu:
Detecting Significantly Expressed Genes from Their Time-Course Expression Profiles and Its Validation. BIBM 2008: 170-175 - [c17]Jiarui Ding, Jin-Hong Shi, An-Min Zou, Fang-Xiang Wu:
Feature Selection for Tandem Mass Spectrum Quality Assessment. BIBM 2008: 310-313 - [c16]Zeng-Guang Hou, An-Min Zou, Fang-Xiang Wu, Long Cheng, Min Tan:
Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach. CASE 2008: 821-826 - 2007
- [c15]Fang-Xiang Wu, Jiarui Ding, Guy G. Poirier:
A Framework for Mass Spectral Quality Assessment without Prior Information. BIBE 2007: 1419-1423 - [c14]Xiaohua Hu, Fang-Xiang Wu, Michael K. Ng, Bahrad A. Sokhansanj:
Mining and Dynamic Simulation of Sub-Networks from Large Biomolecular Networks. IC-AI 2007: 806-813 - [c13]Fang-Xiang Wu:
A Genetic Weighted K-means Algorithm for Clustering Gene Expression Data. IMSCCS 2007: 68-75 - [c12]Fang-Xiang Wu:
Significance Analysis of Time-Course Gene Expression Profiles. ISBRA 2007: 13-24 - 2006
- [c11]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
On Determination of Minimum Sample Size for Discovery of Temporal Gene Expression Patterns. IMSCCS (1) 2006: 96-103 - [c10]Fang-Xiang Wu, Pierre Gagné, Arnaud Droit, Guy G. Poirier:
Quality Assessment of Peptide Tandem Mass Spectra. IMSCCS (1) 2006: 243-250 - 2005
- [c9]Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang:
Genetic Weighted K-means for Large-Scale Clustering Problems. FLAIRS 2005: 864-865 - 2004
- [c8]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
Model-Based Clustering with Genes Expression Dynamics for Time-Course Gene Expression Data. BIBE 2004: 267-274 - [c7]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
State-Space Model for Gene Regulatory Networks with Time Delays. CSB 2004: 454-455 - [c6]Fang-Xiang Wu, Anthony J. Kusalik, Wen-Jun Zhang:
A. Genetic Algorithm for Inferring Time Delays in Gene Regulatory Networks. CSB 2004: 610-611 - [c5]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
Modeling Gene Expression from Microarray Expression Data with State-Space Equations. Pacific Symposium on Biocomputing 2004: 581-592 - 2003
- [c4]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
A Genetic K-means Clustering Algorithm Applied to Gene Expression Data. AI 2003: 520-526 - [c3]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
An Algorithm to Reconstruct a Target DNA Sequence from Its Spectrum Connected at a Given Level. BIBE 2003: 201-205 - [c2]Fang-Xiang Wu, Wen-Jun Zhang, Anthony J. Kusalik:
Determination of the Minimum Sample Size in Microarray Experiments to Cluster Genes Using K-means Clustering. BIBE 2003: 401-406 - 2002
- [c1]Puren R. Ouyang, Wen-Jun Zhang, Fang-Xiang Wu:
Nonlinear PD Control for Trajectory Tracking with Consideration of the Design for Control Methodology. ICRA 2002: 4126-4131
Editorship
- 2011
- [e1]Fang-Xiang Wu, Mohammed Javeed Zaki, Shinichi Morishita, Yi Pan, Stephen Wong, Anastasia Christianson, Xiaohua Hu:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 2011. IEEE Computer Society 2011, ISBN 978-1-4577-1799-4 [contents]
Informal and Other Publications
- 2023
- [i1]Minghan Fu, Fang-Xiang Wu:
QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. CoRR abs/2302.00252 (2023)
Coauthor Index
[j200] [j199] [j185] [j184] [j182] [j176] [j174] [j169] [j167] [j166] [j163] [j162] [j157] [j152] [j150] [j149] [j148] [j146] [j145] [j143] [j141] [j140] [j139] [j138] [j137] [j131] [j126] [j118] [j115] [j114] [j113] [j112] [j110] [j108] [j105] [j104] [j103] [j102] [j99] [j97] [j95] [j93] [j92] [j90] [j87] [j86] [j85] [j84] [j83] [j80] [j79] [j78] [j75] [j71] [j69] [j67] [j66] [j65] [j64] [j61] [j59] [j58] [j56] [j55] [j54] [j52] [j48] [j47] [j46] [j45] [j43] [j42] [j40] [j38] [j35] [c99] [c96] [c92] [c91] [c87] [c85] [c82] [c81] [c80] [c79] [c76] [c74] [c73] [c72] [c71] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c56] [c52] [c51] [c49] [c48] [c46] [c44] [c34]
[j195] [j179] [j171] [j149] [j148] [j147] [j146] [j144] [j143] [j141] [j140] [j122] [j119] [j118] [j115] [j114] [j113] [j112] [j111] [j110] [j109] [j104] [j103] [j102] [j99] [j98] [j97] [j90] [j88] [j86] [j85] [j84] [j83] [j79] [j78] [j71] [j70] [j69] [j68] [j66] [j65] [j64] [j63] [j61] [j58] [j57] [j56] [j55] [j54] [j52] [j49] [j48] [j47] [j46] [j44] [j43] [j42] [j35] [j29] [j25] [c75] [c74] [c70] [c67] [c65] [c63] [c61] [c55] [c49] [c46] [c40] [e1]
[j188] [j187] [j180] [j171] [j169] [j168] [j165] [j162] [j161] [j160] [j159] [j158] [j157] [j156] [j154] [j153] [j152] [j149] [j148] [j147] [j146] [j145] [j144] [j143] [j142] [j141] [j139] [j138] [j137] [j132] [j131] [j129] [j128] [j123] [j122] [j121] [j120] [j119] [j118] [j117] [j115] [j114] [j113] [j112] [j111] [j110] [j109] [j108] [j107] [j105] [j104] [j103] [j102] [j99] [j98] [j96] [j94] [j93] [j92] [j91] [j90] [j88] [j87] [j86] [j85] [j84] [j83] [j80] [j79] [j78] [j77] [j75] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j61] [j58] [j57] [j56] [j55] [j54] [j52] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j38] [j35] [j29] [j25] [c93] [c89] [c86] [c83] [c81] [c79] [c76] [c75] [c73] [c72] [c70] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c56] [c55] [c52] [c46] [c45] [c44] [c41] [c40] [c38] [c34]
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