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ORCIDJin-Xing Liu 0001
Jin-Xin Liu 0001 – Jinxing Liu 0001
Person information
- affiliation: University of Health and Rehabilitation Sciences, Qingdao, China
- affiliation: Qufu Normal University, School of Computer Science, Rizhao, China
- affiliation (2011 - 2015): Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China
- affiliation (PhD 2008): South China University of Technology, State Key Laboratory of Pulp and Paper Engineering, Guangzhou, China
Other persons with the same name
- Jin-Xing Liu (aka: Jin-Xin Liu) — disambiguation page
- Jinxing Liu — disambiguation page
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2020 – today
- 2024
[j107]Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang:
A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. 89: 105785 (2024)- [j106]Cui-Na Jiao
, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang, Jin-Xing Liu:
Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. Eng. Appl. Artif. Intell. 130: 107782 (2024) - [j105]Yuxia Wang, Shasha Yuan, Jin-Xing Liu, Wenrong Hu, Qingwei Jia, Fangzhou Xu:
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. Int. J. Neural Syst. 34(8): 2450040:1-2450040:13 (2024) - [j104]Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu:
A review of recent advances in spatially resolved transcriptomics data analysis. Neurocomputing 603: 128283 (2024) - [j103]Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu:
SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. Knowl. Based Syst. 283: 111187 (2024) - [j102]Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu:
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. Quant. Biol. 12(2): 197-204 (2024) - [j101]Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang:
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 360-371 (2024) - [j100]Xinchun Cui, Youshi Zhou, Chao Zhao, Jianlong Li, Xiangwei Zheng, Xiuli Li, Shixiao Shan, Jin-Xing Liu, Xiaoli Liu:
A Multiscale Hybrid Attention Networks Based on Multiview Images for the Diagnosis of Parkinson's Disease. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j99]Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao:
Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics 28(2): 1110-1121 (2024) - [j98]Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu:
Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. IEEE J. Biomed. Health Informatics 28(5): 3029-3041 (2024) - [j97]Wen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li, Jin-Xing Liu:
KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder. IEEE J. Biomed. Health Informatics 28(5): 3178-3185 (2024) - [j96]Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu:
Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. IEEE J. Biomed. Health Informatics 28(6): 3513-3522 (2024) - [j95]Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2473-2483 (2024) - [c84]Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li:
SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) 2024: 135-146 - [c83]Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu:
stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. ICIC (LNBI 1) 2024: 321-331 - [c82]Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan:
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) 2024: 370-379 - [c81]Qingwei Jia, Jin-Xing Liu, Junling Shang, Lingyun Dai, Yuxia Wang, Wenrong Hu, Shasha Yuan:
Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network. ICIC (4) 2024: 462-474 - [c80]Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) 2024: 327-338 - [c79]Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu:
Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. ISBRA (1) 2024: 418-426 - [i4]Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao:
Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. CoRR abs/2405.02354 (2024) - [i3]Wen-Yu Xi, Juan Wang, Yu-Lin Zhang, Jin-Xing Liu, Ying-Lian Gao:
LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. CoRR abs/2406.03406 (2024) - 2023
- [j94]Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu:
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. 24(1): 13 (2023) - [j93]Lin-Ping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang:
KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. 104: 107862 (2023) - [j92]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. 30(8): 848-860 (2023) - [j91]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. 30(8): 889-899 (2023) - [j90]Yi Shen, Ying-Lian Gao, Juan Wang, Boxin Guan, Jin-Xing Liu:
Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning. J. Comput. Biol. 30(8): 926-936 (2023) - [j89]Ying Wang, Jin-Xing Liu, Juan Wang, Junliang Shang, Ying-Lian Gao:
A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. J. Comput. Biol. 30(8): 937-947 (2023) - [j88]Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu:
A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 52-60 (2023) - [j87]Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng:
MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 534-543 (2023) - [j86]Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng:
LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1774-1782 (2023) - [j85]He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang:
A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2802-2809 (2023) - [j84]Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao:
Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3737-3747 (2023) - [j83]Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou:
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics 27(3): 1386-1396 (2023) - [j82]Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu:
NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. IEEE J. Biomed. Health Informatics 27(3): 1644-1653 (2023) - [j81]Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27(5): 2575-2584 (2023) - [j80]Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun:
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics 27(6): 2968-2979 (2023) - [j79]Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu:
MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. IEEE J. Biomed. Health Informatics 27(7): 3686-3694 (2023) - [j78]Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu:
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. IEEE J. Biomed. Health Informatics 27(10): 5187-5198 (2023) - [j77]Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang:
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. IEEE J. Biomed. Health Informatics 27(10): 5199-5209 (2023) - [j76]Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu:
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5570-5579 (2023) - [c78]Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM 2023: 233-236 - [c77]Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao:
MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. BIBM 2023: 648-653 - [c76]Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu:
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM 2023: 2769-2776 - [c75]Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu:
scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. BIBM 2023: 3200-3207 - [c74]Xu Wang, Ling-Yun Dai, Jin-Xing Liu, Shuang Wang:
MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. BIBM 2023: 3208-3211 - [c73]Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao:
LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. ICIC (3) 2023: 291-299 - [c72]Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan:
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) 2023: 308-319 - [c71]Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu:
Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. ICIC (3) 2023: 359-367 - [c70]Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang:
ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA 2023: 190-201 - 2022
- [j75]Zhen-Xin Niu, Cui-Na Jiao, Liang-Rui Ren, Rong Zhu, Juan Wang, Jin-Xing Liu:
Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. Appl. Intell. 52(8): 8572-8587 (2022) - [j74]Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu:
A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. 23(6) (2022) - [j73]He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong:
A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. 23(1): 381 (2022) - [j72]Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu:
Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. 134: 247-255 (2022) - [j71]Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao:
Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. 20(2): 2250002:1-2250002:20 (2022) - [j70]Han Han, Rong Zhu, Jin-Xing Liu, Ling-Yun Dai:
Predicting miRNA-disease associations via layer attention graph convolutional network model. BMC Medical Informatics Decis. Mak. 22(1): 69 (2022) - [j69]Liang-Rui Ren, Ying-Lian Gao, Junliang Shang, Jin-Xing Liu:
Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification. Int. J. Mach. Learn. Cybern. 13(1): 199-216 (2022) - [j68]Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng:
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1154-1164 (2022) - [j67]Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2420-2430 (2022) - [j66]Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. 52(6): 5079-5087 (2022) - [j65]Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng:
Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics 26(1): 458-467 (2022) - [j64]Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng:
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics 26(4): 1872-1882 (2022) - [j63]Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics 26(7): 3556-3566 (2022) - [j62]Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li:
Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics 26(7): 3578-3589 (2022) - [c69]Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan:
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. BIBM 2022: 549-554 - [c68]Wen-Yu Xi, Qianqian Ren, Jin-Xing Liu, Ying-Lian Gao:
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. BIBM 2022: 607-612 - [c67]Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li:
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. BIBM 2022: 1034-1039 - [c66]Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Jin-Xing Liu:
Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression. BIBM 2022: 1268-1273 - [c65]Zhi-Yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu:
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. BIBM 2022: 2088-2094 - [c64]Sheng-Nan Zhang, Yu-Lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge:
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM 2022: 2162-2168 - [c63]Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu:
Identification of cancer driver modules by combining network functional and topology information. BIBM 2022: 2832-2838 - [c62]Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li:
Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. ICIC (2) 2022: 345-355 - [c61]Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu:
MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA 2022: 1-8 - [c60]Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang:
ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA 2022: 126-137 - [c59]Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang:
TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA 2022: 159-168 - [c58]Yi Shen, Ying-Lian Gao, Shu-Zhen Li, Boxin Guan, Jin-Xing Liu:
A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs. ISBRA 2022: 295-302 - [c57]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA 2022: 381-388 - [c56]Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang:
THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC 2022: 80-93 - 2021
- [j61]Junliang Shang, Jing Wang, Yan Sun, Feng Li, Jin-Xing Liu, Honghai Zhang:
Multiscale part mutual information for quantifying nonlinear direct associations in networks. Bioinform. 37(18): 2920-2929 (2021) - [j60]Rong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai:
IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier. BMC Bioinform. 22(1): 175 (2021) - [j59]Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu:
Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. BMC Bioinform. 22(1): 573 (2021) - [j58]Jin-Xing Liu, Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li:
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization. BMC Bioinform. 22-S(3): 241 (2021) - [j57]Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu:
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31(5): 2150006:1-2150006:15 (2021) - [j56]Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang:
Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. 19(1): 2050047:1-2050047:24 (2021) - [j55]Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan:
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. 36(2): 276-287 (2021) - [j54]Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. 227: 107226 (2021) - [j53]Ya-li Zhu, Xiao-ning Zhang, Chuan-Yuan Wang, Jin-Xing Liu, Xiangzhen Kong:
Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. Quant. Biol. 9(4): 451-462 (2021) - [j52]Junliang Shang, Yiting Li, Yan Sun, Feng Li, Yuanyuan Zhang, Jin-Xing Liu:
MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection. Symmetry 13(1): 49 (2021) - [j51]Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Gao:
LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1122-1129 (2021) - [j50]Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang:
DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1481-1491 (2021) - [j49]Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu:
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 2008-2016 (2021) - [j48]Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang:
Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2375-2383 (2021) - [j47]Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. 51(8): 3952-3963 (2021) - [j46]Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong:
WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(1): 257-265 (2021) - [j45]Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu:
Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(3): 881-890 (2021) - [c55]Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu:
Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM 2021: 418-423 - [c54]Qian Qiao, Ying-Lian Gao, Shasha Yuan, Jin-Xing Liu:
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. BIBM 2021: 509-514 - [c53]Dai-Jun Zhang, Jing-Xiu Zhao, Jin-Xing Liu, Ying-Lian Gao:
Adaptive total-variation joint learning model for analyzing single cell RNA seq data. BIBM 2021: 775-778 - [c52]Zhen-Xin Niu, Liang-Rui Ren, Rong Zhu, Xiang-Zhen Kong, Ying-Lian Gao, Jin-Xing Liu:
Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. ICIC (2) 2021: 532-539 - [c51]Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA 2021: 3-10 - [c50]He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA 2021: 499-510 - 2020
- [j44]Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu:
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. 21(1): 339 (2020) - [j43]Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. 21(1): 445 (2020) - [j42]Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu:
MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC Bioinform. 21(1): 454 (2020) - [j41]Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong:
L2, 1-Extreme Learning Machine: An Efficient Robust Classifier for Tumor Classification. Comput. Biol. Chem. 89: 107368 (2020) - [j40]Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiang-Zhen Kong:
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. 2020: 4865738:1-4865738:13 (2020) - [j39]Yao Lu, Ying-Lian Gao, Pei-Yong Li, Jin-Xing Liu:
A multi-view classification and feature selection method via sparse low-rank regression analysis. Int. J. Data Min. Bioinform. 24(2): 140-159 (2020) - [j38]Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei:
Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1253-1261 (2020) - [j37]Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Rong Zhu, Shasha Yuan:
LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring. IEEE J. Biomed. Health Informatics 24(5): 1519-1527 (2020) - [j36]Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang:
Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics 24(6): 1823-1834 (2020) - [j35]Cui-Na Jiao, Ying-Lian Gao, Na Yu, Jin-Xing Liu, Lianyong Qi:
Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE J. Biomed. Health Informatics 24(10): 3002-3011 (2020) - [c49]Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM 2020: 92-95 - [c48]Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong:
Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. BIBM 2020: 121-125 - [c47]Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong:
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM 2020: 397-401 - [c46]Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong:
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM 2020: 1503-1509 - [c45]Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong:
Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM 2020: 2131-2138 - [c44]Ya-li Zhu, Ming-Juan Wu, Chuan-Yuan Wang, Yue Hu, Jin-Xing Liu:
Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. BIC-TA 2020: 17-24 - [c43]Chang-Gang Wen, Jin-Xing Liu, Lei Qin, Juan Wang, Yun Fang:
Essential Proteins Identification Based on Integrated Network. ICIC (1) 2020: 81-91 - [c42]Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng:
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) 2020: 537-545
2010 – 2019
- 2019
- [j34]Junliang Shang, Xuan Wang, Xiaoyang Wu, Yingxia Sun, Qian Ding, Jin-Xing Liu, Honghai Zhang:
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. IEEE Access 7: 13497-13509 (2019) - [j33]Ying-Lian Gao, Mi-Xiao Hou, Jin-Xing Liu, Xiang-Zhen Kong:
An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis. IEEE Access 7: 126594-126602 (2019) - [j32]Qian Ding, Junliang Shang, Yan Sun, Guangshuai Liu, Feng Li, Xiguo Yuan, Jin-Xing Liu:
NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. IEEE Access 7: 135845-135854 (2019) - [j31]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access 7: 151329-151338 (2019) - [j30]Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, Ling-Yun Dai:
The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. 20(1): 5 (2019) - [j29]Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Ying Guo:
ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions. BMC Bioinform. 20(1): 16 (2019) - [j28]Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng:
NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. 20(1): 353:1-353:10 (2019) - [j27]Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan:
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. 20-S(8): 287:1-287:13 (2019) - [j26]Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong:
Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. 20-S(22): 718 (2019) - [j25]Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang:
RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. 20-S(25): 686 (2019) - [j24]Qian Ding, Junliang Shang, Yingxia Sun, Xuan Wang, Jin-Xing Liu:
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions. Comput. Biol. Chem. 78: 440-447 (2019) - [j23]Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiang-Zhen Kong, Junliang Shang:
Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. 78: 468-473 (2019) - [j22]Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong:
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78: 474-480 (2019) - [j21]Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai:
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78: 504-509 (2019) - [j20]Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Shengjun Li, Juan Wang:
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. Complex. 2019: 6136245:1-6136245:13 (2019) - [j19]Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu:
Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complex. 2019: 7081674:1-7081674:12 (2019) - [j18]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. 26(8): 769-781 (2019) - [j17]Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen:
A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 172-182 (2019) - [j16]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2926-2937 (2019) - [c41]Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, Jin-Xing Liu:
Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations. ICIC (3) 2019: 318-326 - [c40]Yong-Jing Hao, Mi-Xiao Hou, Rong Zhu, Jin-Xing Liu:
An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis. IDMB 2019: 97-111 - [c39]Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong:
Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. IDMB 2019: 112-125 - [c38]Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu:
Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis. IDMB 2019: 137-151 - [c37]Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong:
DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. IDMB 2019: 196-208 - [i2]Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu:
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR abs/1901.06794 (2019) - [i1]Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng:
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR abs/1905.11837 (2019) - 2018
- [j15]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu:
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 974-987 (2018) - [c36]Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang:
Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. BIBM 2018: 578-582 - [c35]Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong, Mi-Xiao Hou, Shasha Yuan:
Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM 2018: 1332-1337 - [c34]Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo:
A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM 2018: 1610-1613 - [c33]Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiang-Zhen Kong, Ling-Yun Dai:
Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) 2018: 407-418 - [c32]Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan:
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. ICIC (2) 2018: 419-431 - [c31]Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang:
acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) 2018: 470-482 - [c30]Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng:
An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. ISBRA 2018: 26-37 - 2017
- [j14]Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng:
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Min. 10(1): 23:1-23:17 (2017) - [j13]Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang:
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. BMC Syst. Biol. 11(6): 63-73 (2017) - [j12]Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou:
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. 2017: 4216797:1-4216797:11 (2017) - [j11]Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan:
A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. 19(3): 185-201 (2017) - [j10]Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu:
A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. Neurocomputing 228: 263-269 (2017) - [c29]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai:
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. BIBM 2017: 626-629 - [c28]Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng:
Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM 2017: 1741-1745 - [c27]Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu:
Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM 2017: 1752-1756 - [c26]Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang:
Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM 2017: 1900-1905 - [c25]Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang:
A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM 2017: 2183-2186 - 2016
- [j9]Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng:
CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions. BMC Bioinform. 17: 214 (2016) - [j8]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang:
Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput. Biol. Chem. 65: 185-192 (2016) - [j7]Shengjun Li, Junliang Shang, Qinliang Chen, Yan Sun, Jin-Xing Liu:
A compressed sensing based two-stage method for detecting epistatic interactions. Int. J. Data Min. Bioinform. 14(4): 354-372 (2016) - [j6]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu:
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 13(2): 392-398 (2016) - [j5]Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu:
Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 13(6): 1059-1067 (2016) - [c24]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu:
A p-norm singular value decomposition method for robust tumor clustering. BIBM 2016: 600-605 - [c23]Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang:
L21-iPaD: An efficient method for drug-pathway association pairs inference. BIBM 2016: 664-669 - [c22]Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu:
Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM 2016: 1253-1258 - [c21]Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du:
A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM 2016: 1795-1799 - [c20]Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang:
Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM 2016: 1822-1827 - [c19]Yao Lu, Ying-Lian Gao, Jin-Xing Liu, Chang-Gang Wen, Yaxuan Wang, Jiguo Yu:
Characteristic gene selection via L2, 1-norm Sparse Principal Component Analysis. BIBM 2016: 1828-1833 - [c18]Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du:
Differentially expressed genes selection via Truncated Nuclear Norm Regularization. BIBM 2016: 1851-1855 - [c17]Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu:
An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR 2016: 739-746 - [c16]Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li:
An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions. ICIC (3) 2016: 21-32 - [c15]Shengjun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li:
A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. ICIC (2) 2016: 67-77 - [c14]Wenxiang Zhang, Junliang Shang, Huiyu Li, Yingxia Sun, Jin-Xing Liu:
SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions. ICIC (1) 2016: 112-121 - [c13]Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang:
Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) 2016: 285-293 - [c12]Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng:
Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. ICIC (2) 2016: 290-299 - [c11]Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang:
A Simple Review of Sparse Principal Components Analysis. ICIC (2) 2016: 374-383 - 2015
- [j4]Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai:
RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 964-970 (2015) - [c10]Ke Yan, Jin-Xing Liu, Yong Xu:
An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) 2015: 357-365 - [c9]Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang:
A Survey of Multiple Sequence Alignment Techniques. ICIC (1) 2015: 529-538 - [c8]Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Yuxia Lei:
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes. ICIC (2) 2015: 577-588 - [c7]Dong Wang, Ying-Lian Gao, Jin-Xing Liu, Jiguo Yu, Chang-Gang Wen:
Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection. ICIC (2) 2015: 601-611 - [c6]Chun-Xia Ma, Ying-Lian Gao, Dong Wang, Jian Liu, Jin-Xing Liu:
Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes. ICIC (2) 2015: 612-622 - [c5]Junliang Shang, Yan Sun, Yun Fang, Shengjun Li, Jin-Xing Liu, Yuanke Zhang:
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders. ICIC (2) 2015: 623-633 - [c4]Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang:
Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) 2015: 679-685 - 2013
- [j3]Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu:
Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. 14(S-8): S3 (2013) - 2012
- [j2]Jin-Xing Liu, Chun-Hou Zheng, Yong Xu:
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine 42(5): 582-589 (2012) - [c3]Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu:
Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) 2012: 174-179 - 2011
- [j1]Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang:
Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine 41(11): 1041-1050 (2011)
2000 – 2009
- 2007
- [c2]Jinxing Liu, Huanbin Liu, Wenhao Shen:
Stability Analysis of Particle Swarm Optimization. ICIC (2) 2007: 781-790 - 2006
- [c1]Jinxing Liu, Huanbin Liu, Wenhao Shen, Yonggen Xu, Shuangchun Yang:
A Fuzzy PID Controller for Controlling Flotation De-inking Column. ICIC (2) 2006: 90-95
Coauthor Index
Ling-Yun Dai
aka: Lingyun Dai
aka: Lingyun Dai
[j106] [j104] [j103] [j99] [j98] [j97] [j95] [c83] [i4] [i3] [j90] [j89] [j87] [j86] [j84] [j82] [j79] [j78] [c78] [c77] [c73] [c71] [j74] [j72] [j71] [j69] [j68] [j67] [j66] [j65] [c68] [c65] [c61] [c58] [j58] [j56] [j54] [j51] [j50] [j48] [j46] [j45] [c55] [c54] [c53] [c52] [c51] [j43] [j42] [j41] [j39] [j37] [j36] [j35] [c48] [c42] [j33] [j30] [j28] [j27] [j25] [j23] [j20] [j19] [j16] [c41] [c37] [i1] [j15] [c36] [c33] [j13] [j11] [j10] [c29] [c28] [c27] [j8] [j6] [j5] [c23] [c21] [c19] [c18] [c12] [c11] [c8] [c7] [c6] [c4]
[j107] [j106] [j102] [j101] [j98] [c84] [c82] [c80] [j94] [j93] [j92] [j91] [j89] [j88] [j87] [j83] [j81] [j80] [j77] [c78] [c76] [c75] [c72] [c70] [j72] [j69] [j64] [c69] [c64] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [j61] [j57] [j56] [j52] [j50] [c51] [j44] [j43] [j38] [c46] [c45] [j34] [j32] [j30] [j24] [j23] [j18] [c38] [c36] [c33] [c31] [c30] [j14] [j13] [j10] [c26] [c25] [j9] [j8] [j7] [c23] [c20] [c16] [c15] [c14] [c13] [c12] [c5] [c4]
[j104] [j103] [j101] [j99] [j96] [j95] [c83] [c79] [i4] [j92] [j87] [j86] [j85] [j84] [j82] [j81] [j76] [c78] [j74] [j73] [j72] [j68] [j67] [j66] [j65] [j64] [j63] [c67] [c65] [c60] [j54] [j47] [c55] [c51] [j43] [j40] [j38] [j36] [c48] [c42] [j28] [j25] [j22] [j18] [j17] [j16] [i1] [j15] [c31] [c30] [j14] [j13] [j12] [j10] [c29] [c27] [c26] [j9] [j8] [j6] [j5] [c24] [c23] [c22] [c20] [c18] [c13] [c12] [c11] [j4] [c8] [c4] [j3] [j2] [c3] [j1]
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last updated on 2024-09-13 01:39 CEST by the dblp team
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