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ORCIDIEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 19
Volume 19, Number 1, January - February 2022
- Hsiao-Fang Sunny Sun
, Yi-Ping Phoebe Chen:
Editorial. 1-2 - Hui Bi, Shumei Cao, Hanying Yan, Zhongyi Jiang, Jun Zhang, Ling Zou:
Resting State Functional Connectivity Analysis During General Anesthesia: A High-Density EEG Study. 3-13 - Pierrick Craveur, Tarun J. Narwani, Narayanaswamy Srinivasan, Jean-Christophe Gelly, Joseph Rebehmed, Alexandre G. de Brevern:
Shaking the β-Bulges. 14-18 - Madhusudan Paul, Ashish Anand:
A New Family of Similarity Measures for Scoring Confidence of Protein Interactions Using Gene Ontology. 19-30 - Runhua Huang, Chengchuang Lin, Aihua Yin, Hanbiao Chen, Li Guo, Gansen Zhao, Xiaomao Fan, Shuangyin Li, Jinji Yang:
A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation. 31-39 - Ying Qian, Xuelian Li, Qian Zhang, Jiongmin Zhang:
SPP-CPI: Predicting Compound-Protein Interactions Based On Neural Networks. 40-47 - Jin Zhao, Haodi Feng, Daming Zhu, Yu Lin:
MultiTrans: An Algorithm for Path Extraction Through Mixed Integer Linear Programming for Transcriptome Assembly. 48-56 - Anuradha Wickramarachchi, Yu Lin:
GraphPlas: Refined Classification of Plasmid Sequences Using Assembly Graphs. 57-67 - Shuai Lu, Yuguang Li, Fei Wang, Xiaofei Nan, Shoutao Zhang:
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction. 68-74 - Tzu-Hsien Yang:
An Aggregation Method to Identify the RNA Meta-Stable Secondary Structure and its Functionally Interpretable Structure Ensemble. 75-86 - Trinh-Trung-Duong Nguyen, The-Anh Tran, Nguyen-Quoc-Khanh Le, Dinh-Minh Pham, Yu-Yen Ou:
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches. 87-94 - Barbara Di Camillo, Giuseppe Nicosia:
Guest Editorial: Deep Learning For Genomics. 95-96 - Jim Clauwaert, Willem Waegeman:
Novel Transformer Networks for Improved Sequence Labeling in genomics. 97-106 - Zhong Chen, Wensheng Zhang, Hong-Wen Deng, Kun Zhang:
Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs. 107-120 - Francisco Cristovao, Silvia Cascianelli, Arif Canakoglu, Mark J. Carman, Luca Nanni, Pietro Pinoli, Marco Masseroli:
Investigating Deep Learning Based Breast Cancer Subtyping Using Pan-Cancer and Multi-Omic Data. 121-134 - Gautier Viaud, Prasanna Mayilvahanan, Paul-Henry Cournède:
Representation Learning for the Clustering of Multi-Omics Data. 135-145 - Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le:
Graph Convolutional Networks for Drug Response Prediction. 146-154 - Satyajit Mahapatra, Vivek Raj Gupta, Sitanshu Sekhar Sahu, Ganapati Panda:
Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction. 155-165 - Zhipeng Cai, Min Li, Pavel Skums:
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. 166-167 - 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. 168-179 - Fengpan Zhao, Pavel Skums, Alex Zelikovsky, Eric L. Sevigny, Monica Haavisto Swahn, Sheryl M. Strasser, Yan Huang, Yubao Wu:
Computational Approaches to Detect Illicit Drug Ads and Find Vendor Communities Within Social Media Platforms. 180-191 - Sudipta Acharya, Laizhong Cui, Yi Pan:
A Refined 3-in-1 Fused Protein Similarity Measure: Application in Threshold-Free Hub Detection. 192-206 - Zhipeng Cai, Giri Narasimhan, Pavel Skums:
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. 207-208 - Shan Gao, Renmin Han, Xiangrui Zeng, Zhiyong Liu, Min Xu, Fa Zhang:
Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. 209-219 - Davide Storato, Matteo Comin:
K2Mem: Discovering Discriminative K-mers From Sequencing Data for Metagenomic Reads Classification. 220-229 - Saurav Dhar, Chengchen Zhang, Ion I. Mandoiu, Mukul S. Bansal:
TNet: Transmission Network Inference Using Within-Host Strain Diversity and its Application to Geographical Tracking of COVID-19 Spread. 230-242 - Jun Wang, Huiling Zhang, Wei Ren, Maozu Guo, Guoxian Yu:
EpiMC: Detecting Epistatic Interactions Using Multiple Clusterings. 243-254 - P. V. Sunil Kumar, Adheeba Thahsin, Manju M, G. Gopakumar:
A Heterogeneous Information Network Model for Long Non-Coding RNA Function Prediction. 255-266 - Hansheng Li, Jianping Li, Yuxin Kang, Chunbao Wang, Feihong Liu, Wenli Hui, Qirong Bo, Lei Cui, Jun Feng, Lin Yang:
A Novel Encoding and Decoding Calibration Guiding Pathway for Pathological Image Analysis. 267-274 - Sadaf Gull, Fayyaz A. Minhas:
AMP0: Species-Specific Prediction of Anti-microbial Peptides Using Zero and Few Shot Learning. 275-283 - Mahdi Pursalim, Kwoh Chee Keong:
An Efficient Multiresolution Clustering for Motif Discovery in Complex Networks. 284-294 - Yuning Yang, Jiawen Yu, Zhe Liu, Xi Wang, Han Wang, Zhiqiang Ma, Dong Xu:
An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network. 295-304 - Xiaoke Ma, Peng Gang Sun, Maoguo Gong:
An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition. 305-316 - Fei Liu, Ena Yamamoto, Katsunobu Shirahama, Tsubasa Saitoh, Shuhei Aoyama, Yumiko Harada, Ryutaro Murakami, Hiroshi Matsuno:
Analysis of Pattern Formation by Colored Petri Nets With Quantitative Regulation of Gene Expression Level. 317-327 - Sanzo Miyazawa:
Boltzmann Machine Learning and Regularization Methods for Inferring Evolutionary Fields and Couplings From a Multiple Sequence Alignment. 328-342 - Devleena Ghosh, Chittaranjan Mandal:
Clustering Based Parameter Estimation of Thyroid Hormone Pathway. 343-354 - Rubén Langarita, Adrià Armejach, Javier Setoain, Pablo Ibáñez-Marín, Jesús Alastruey-Benedé, Miquel Moretó:
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps. 355-368 - Md. Rezaul Karim, Michael Cochez, Achille Zappa, Ratnesh Sahay, Dietrich Rebholz-Schuhmann, Oya Beyan, Stefan Decker:
Convolutional Embedded Networks for Population Scale Clustering and Bio-Ancestry Inferencing. 369-382 - Rizwan Qureshi, Avirup Ghosh, Hong Yan:
Correlated Motions and Dynamics in Different Domains of Epidermal Growth Factor Receptor With L858R and T790M Mutations. 383-394 - Chunxiang Peng, Xiao-Gen Zhou, Gui-Jun Zhang:
De novo Protein Structure Prediction by Coupling Contact With Distance Profile. 395-406 - Mohammad A. Rezaei, Yanjun Li, Dapeng Wu, Xiaolin Li, Chenglong Li:
Deep Learning in Drug Design: Protein-Ligand Binding Affinity Prediction. 407-417 - Anju Sharma, Rajnish Kumar, Rahul Semwal, Imlimaong Aier, Pankaj Tyagi, Pritish Kumar Varadwaj:
DeepOlf: Deep Neural Network Based Architecture for Predicting Odorants and Their Interacting Olfactory Receptors. 418-428 - Christoph Flamm, Marc Hellmuth, Daniel Merkle, Nikolai Nøjgaard, Peter F. Stadler:
Generic Context-Aware Group Contributions. 429-442 - Rituparna Sinha, Rajat Kumar Pal, Rajat K. De:
GenSeg and MR-GenSeg: A Novel Segmentation Algorithm and its Parallel MapReduce Based Approach for Identifying Genomic Regions With Copy Number Variations. 443-454 - Chang Sun, Ping Xuan, Tiangang Zhang, Yilin Ye:
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target Interactions. 455-464 - Kiya Govek, Camden Sikes, Yangqiaoyu Zhou, Layla Oesper:
GraPhyC: Using Consensus to Infer Tumor Evolution. 465-478 - Peng Peng, Yipu Zhang, Yongfeng Ju, Kaiming Wang, Gang Li, Vince D. Calhoun, Yu-Ping Wang:
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis. 479-490 - Ozlem Muslu, Charles Tapley Hoyt, Mauricio Lacerda, Martin Hofmann-Apitius, Holger Fröhlich:
GuiltyTargets: Prioritization of Novel Therapeutic Targets With Network Representation Learning. 491-500 - Sai Zhang, Jin Li, Wei Zhou, Tong Li, Yang Zhang, Jingru Wang:
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction. 501-512 - Yuting Tan, Le Ou-Yang, Xingpeng Jiang, Hong Yan, Xiao-Fei Zhang:
Identifying Gene Network Rewiring Based on Partial Correlation. 513-521 - Samet Tenekeci, Zerrin Isik:
Integrative Biological Network Analysis to Identify Shared Genes in Metabolic Disorders. 522-530 - Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Dariusz Plewczynski, Subhadip Basu:
JUPPI: A Multi-Level Feature Based Method for PPI Prediction and a Refined Strategy for Performance Assessment. 531-542 - Anna Bernasconi, Arif Canakoglu, Marco Masseroli, Stefano Ceri:
META-BASE: A Novel Architecture for Large-Scale Genomic Metadata Integration. 543-557 - Eunji Kim, Ivan Ivanov, Edward R. Dougherty:
Network Classification Based on Reducibility With Respect to the Stability of Canalizing Power of Genes in a Gene Regulatory Network - A Boolean Network Modeling Perspective. 558-568 - Yajun Dai, Yang Li, Liping Wang, Zhenling Peng, Jianyi Yang:
On Monomeric and Multimeric Structures-Based Protein-Ligand Interactions. 569-574 - Kuo Yang, Yi Zheng, Kezhi Lu, Kai Chang, Ning Wang, Zixin Shu, Jian Yu, Baoyan Liu, Zhuye Gao, Xuezhong Zhou:
PDGNet: Predicting Disease Genes Using a Deep Neural Network With Multi-View Features. 575-584 - Rahul Semwal, Imlimaong Aier, Utkarsh Raj, Pritish Kumar Varadwaj:
Pr[m]: An Algorithm for Protein Motif Discovery. 585-592 - Wei Zhong, Feng Gu:
Predicting Local Protein 3D Structures Using Clustering Deep Recurrent Neural Network. 593-604 - Dewu Ding, Xiao Sun:
Relating Translation Efficiency to Protein Networks Provides Evolutionary Insights in Shewanella and Its Implications for Extracellular Electron Transfer. 605-613 - Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang:
SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism. 614-623 - Priyadarshini Rai, Debarka Sengupta, Angshul Majumdar:
SelfE: Gene Selection via Self-Expression for Single-Cell Data. 624-632 - Yan Liu, Hao Liang, Quan Zou, Zengyou He:
Significance-Based Essential Protein Discovery. 633-642 - Qiao Ning, Zhiqiang Ma, Xiaowei Zhao, Minghao Yin:
SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm. 643-652
Volume 19, Number 2, March - April 2022
- Pietro Hiram Guzzi, Marinka Zitnik:
Editorial Deep Learning and Graph Embeddings for Network Biology. 653-654 - Jin Li, Jingru Wang, Hao Lv, Zhuoxuan Zhang, Zaixia Wang:
IMCHGAN: Inductive Matrix Completion With Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction. 655-665 - Xiaoyong Pan, Lei Chen, Min Liu, Zhibin Niu, Tao Huang, Yu-Dong Cai:
Identifying Protein Subcellular Locations With Embeddings-Based node2loc. 666-675 - Kishan KC, Rui Li, Feng Cui, Anne R. Haake:
Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks. 676-687 - Xiujuan Lei, Jiaojiao Tie, Yi Pan:
Inferring Metabolite-Disease Association Using Graph Convolutional Networks. 688-698 - Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li:
Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network. 699-709 - Giang T. T. Nguyen, Hoa D. Vu, Duc-Hau Le:
Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction. 710-717 - Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. 718-728 - Ichcha Manipur, Mario Manzo, Ilaria Granata, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino:
Netpro2vec: A Graph Embedding Framework for Biomedical Applications. 729-740 - Yuanfang Ren, Aisharjya Sarkar, Pierangelo Veltri, Ahmet Ay, Alin Dobra, Tamer Kahveci:
Pattern Discovery in Multilayer Networks. 741-752 - Zhen Shen, Qinhu Zhang, Kyungsook Han, De-Shuang Huang:
A Deep Learning Model for RNA-Protein Binding Preference Prediction Based on Hierarchical LSTM and Attention Network. 753-762 - Zhen Gao, Yu-Tian Wang, Qing-Wen Wu, Lei Li, Jian-Cheng Ni, Chun-Hou Zheng:
A New Method Based on Matrix Completion and Non-Negative Matrix Factorization for Predicting Disease-Associated miRNAs. 763-772 - Koushik Mallick, Saurav Mallik, Sanghamitra Bandyopadhyay, Sikim Chakraborty:
A Novel Graph Topology-Based GO-Similarity Measure for Signature Detection From Multi-Omics Data and its Application to Other Problems. 773-785 - Xin Huang, Zhenqian Liao, Bing Liu, Fengmei Tao, Benzhe Su, Xiaohui Lin:
A Novel Method for Constructing Classification Models by Combining Different Biomarker Patterns. 786-794 - Shi-Hao Feng, Chun-Qiu Xia, Pei-Dong Zhang, Hong-Bin Shen:
Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks. 795-805 - Trinh Van Giang, Tatsuya Akutsu, Kunihiko Hiraishi:
An FVS-Based Approach to Attractor Detection in Asynchronous Random Boolean Networks. 806-818 - Yiding Zhang, Lyujie Chen, Shao Li:
CIPHER-SC: Disease-Gene Association Inference Using Graph Convolution on a Context-Aware Network With Single-Cell Data. 819-829 - Aisharjya Sarkar, Prabhat Mishra, Tamer Kahveci:
Data Perturbation and Recovery of Time Series Gene Expression Data. 830-842 - Sachin Bhatt, Prithvi Singh, Archana Sharma, Arpita Rai, Ravins Dohare, Shweta Sankhwar, Akash Sharma, Mansoor Ali Syed:
Deciphering Key Genes and miRNAs Associated With Hepatocellular Carcinoma via Network-Based Approach. 843-853 - Yuting Su, Yao Lu, Mei Chen, An-An Liu:
Deep Reinforcement Learning-Based Progressive Sequence Saliency Discovery Network for Mitosis Detection In Time-Lapse Phase-Contrast Microscopy Images. 854-865 - Ben Cao, Xue Ii, Xiaokang Zhang, Bin Wang, Qiang Zhang, Xiaopeng Wei:
Designing Uncorrelated Address Constrain for DNA Storage by DMVO Algorithm. 866-877 - Boxin Guan, Yuhai Zhao, Ying Yin, Yuan Li:
Detecting Disease-Associated SNP-SNP Interactions Using Progressive Screening Memetic Algorithm. 878-887 - Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. 888-898 - Seonho Kim, Juntae Yoon:
Dual Triggered Correspondence Topic (DTCT)model for MeSH annotation. 899-911 - Christian Ponte-Fernández, Jorge González-Domínguez, Antonio Carvajal-Rodríguez, María J. Martín:
Evaluation of Existing Methods for High-Order Epistasis Detection. 912-926 - Tapan Chowdhury, Susanta Chakraborty, Argha Nandan:
GPU Accelerated Drug Application on Signaling Pathways Containing Multiple Faults Using Boolean Networks. 927-939 - Edward E. Seabolt, Gowri Nayar, Harsha Krishnareddy, Akshay Agarwal, Kristen L. Beck, Ignacio Terrizzano, Eser Kandogan, Mark Kunitomi, Mary Roth, Vandana V. Mukherjee, James H. Kaufman:
Functional Genomics Platform, A Cloud-Based Platform for Studying Microbial Life at Scale. 940-952 - Fei Wang, Yulian Ding, Xiujuan Lei, Bo Liao, Fang-Xiang Wu:
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering. 953-965 - Meshari Alazmi, Olaa A. Motwalli:
Immuno-Informatics Based Peptides: An Approach for Vaccine Development Against Outer Membrane Proteins of Pseudomonas Genus. 966-973 - Khalique Newaz, Tijana Milenkovic:
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation. 974-988 - Guobo Xie, Jiawei Jiang, Yuping Sun:
LDA-LNSUBRW: lncRNA-Disease Association Prediction Based on Linear Neighborhood Similarity and Unbalanced bi-Random Walk. 989-997 - Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu:
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities. 998-1008 - Daniele Tavernelli, Tiziana Calamoneri, Paola Vocca:
Linear Time Reconciliation With Bounded Transfers of Genes. 1009-1017 - Bin Wang, Yongsheng Gao, Xiaohui Yuan, Shengwu Xiong:
Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars. 1018-1031 - Nikhilanand Arya, Sriparna Saha:
Multi-Modal Classification for Human Breast Cancer Prognosis Prediction: Proposal of Deep-Learning Based Stacked Ensemble Model. 1032-1041 - 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. 1042-1049 - Liliana Ironi, Ettore Lanzarone:
Optimal Robust Search for Parameter Values of Qualitative Models of Gene Regulatory Networks. 1050-1063 - Hua Zhang, Guogen Shan, Bailin Yang:
Optimized Elastic Network Models With Direct Characterization of Inter-Residue Cooperativity for Protein Dynamics. 1064-1074 - Xiangan Chen, Shuai Liu, Wen Zhang:
Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance. 1075-1083 - Jianhong Cheng, Jin Liu, Hailin Yue, Harrison X. Bai, Yi Pan, Jianxin Wang:
Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. 1084-1095 - Nishtha Hooda, Ruchika Gupta, Nidhi Rani Gupta:
Prediction of Malignant Breast Cancer Cases Using Ensemble Machine Learning: A Case Study of Pesticides Prone Area. 1096-1104 - Shweta Yadav, Srivatsa Ramesh Jayashree, Sriparna Saha, Asif Ekbal:
Relation Extraction From Biomedical and Clinical Text: Unified Multitask Learning Framework. 1105-1116 - Subin Qian, Huiyi Liu, Xiaofeng Yuan, Wei Wei, Shuangshuang Chen, Hong Yan:
Row and Column Structure-Based Biclustering for Gene Expression Data. 1117-1129 - Ekta Shah, Pradipta Maji:
Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes. 1130-1143 - Zhijie Ni, Xiaoying Zheng, Xiao Zheng, Xiufen Zou:
scLRTD : A Novel Low Rank Tensor Decomposition Method for Imputing Missing Values in Single-Cell Multi-Omics Sequencing Data. 1144-1153 - 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. 1154-1164 - Jason L. Causey, Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake A. Qualls, Jonathan W. Stubblefield, Jason H. Moore, Yuanfang Guan, Xiuzhen Huang:
Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection. 1165-1172 - Andri Mirzal:
Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM. 1173-1192 - Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. 1193-1202 - Mohan Timilsina, Declan Patrick Mc Kernan, Haixuan Yang, Mathieu d'Aquin:
Synergy Between Embedding and Protein Functional Association Networks for Drug Label Prediction Using Harmonic Function. 1203-1213 - Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos:
The $\gamma$γ-OMP Algorithm for Feature Selection With Application to Gene Expression Data. 1214-1224 - Imran Razzak, Saeeda Naz:
Unit-Vise: Deep Shallow Unit-Vise Residual Neural Networks With Transition Layer For Expert Level Skin Cancer Classification. 1225-1234 - Trinh-Trung-Duong Nguyen, Quang-Thai Ho, Nguyen-Quoc-Khanh Le, Van-Dinh Phan, Yu-Yen Ou:
Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model. 1235-1244 - Gilberto Medeiros Nakamura, Alinne Cristinne Corrêa Souza, Francisco Carlos M. Souza, Renato F. Bulcão-Neto, Alexandre Souto Martinez, Alessandra A. Macedo:
Using Symmetry to Enhance the Performance of Agent-Based Epidemic Models. 1245-1254
Volume 19, Number 3, May - June 2022
- Stephen Kwok-Wing Tsui:
Editorial. 1255-1256 - Jiongmin Zhang, Man Zhu, Ying Qian:
protein2vec: Predicting Protein-Protein Interactions Based on LSTM. 1257-1266 - Byungkyu Park, Wook Lee, Kyungsook Han:
A New Approach to Deriving Prognostic Gene Pairs From Cancer Patient-Specific Gene Correlation Networks. 1267-1276 - Yanbo Li, Yu Lin:
DCHap: A Divide-and-Conquer Haplotype Phasing Algorithm for Third-Generation Sequences. 1277-1284 - Chengchuang Lin, Gansen Zhao, Zhirong Yang, Aihua Yin, Jianxin Wang, Li Guo, Hanbiao Chen, Zhaohui Ma, Lei Zhao, Haoyu Luo, Tianxing Wang, Bichao Ding, Xiongwen Pang, Qiren Chen:
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture. 1285-1293 - Shengtian Sang, Xiaoxia Liu, Xiaoyu Chen, Di Zhao:
A Scalable Embedding Based Neural Network Method for Discovering Knowledge From Biomedical Literature. 1294-1301 - Sun Ah Kim, Nayeon Kang, Taesung Park:
Hierarchical Structured Component Analysis for Microbiome Data Using Taxonomy Assignments. 1302-1312 - Ken Hung-On Yu, Xiunan Fang, Haobin Yao, Bond Ng, Tak Kwan Leung, Ling-Ling Wang, Chi Ho Lin, Agnes Sze Wah Chan, Wai Keung Leung, Suet Yi Leung, Joshua Wing Kei Ho:
Evaluation of Experimental Protocols for Shotgun Whole-Genome Metagenomic Discovery of Antibiotic Resistance Genes. 1313-1321 - Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang:
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. 1322-1333 - Xiuzhen Huang, Yu Zhang, Xuan Guo:
Editorial. 1334-1335 - Sina Abdollahi, Peng-Chan Lin, Jung-Hsien Chiang:
DiaDeL: An Accurate Deep Learning-Based Model With Mutational Signatures for Predicting Metastasis Stage and Cancer Types. 1336-1343 - Nahim Adnan, Maryam Zand, Tim Hui-Ming Huang, Jianhua Ruan:
Construction and Evaluation of Robust Interpretation Models for Breast Cancer Metastasis Prediction. 1344-1353 - Tapas Bhadra, Saurav Mallik, Amir Sohel, Zhongming Zhao:
Unsupervised Feature Selection Using an Integrated Strategy of Hierarchical Clustering With Singular Value Decomposition: An Integrative Biomarker Discovery Method With Application to Acute Myeloid Leukemia. 1354-1364 - Lien A. Bui, Dacosta Yeboah, Louis Steinmeister, Sima Azizi, Daniel B. Hier, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning. 1365-1378 - Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore:
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. 1379-1386 - Jason L. Causey, Jonathan W. Stubblefield, Jake A. Qualls, Jennifer Fowler, Lingrui Cai, Karl Walker, Yuanfang Guan, Xiuzhen Huang:
An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images. 1387-1392 - Lechuan Li, Chonghao Zhang, Shiyu Liu, Hannah Guan, Yu Zhang:
Age Prediction by DNA Methylation in Neural Networks. 1393-1402 - Madhumita, Sushmita Paul:
A Feature Weighting-Assisted Approach for Cancer Subtypes Identification From Paired Expression Profiles. 1403-1414 - Lewei Zhou, Yucong Tang, Guiying Yan:
A New Estimation Method for the Biological Interaction Predicting Problems. 1415-1423 - Chengye Zou, Xiaopeng Wei, Qiang Zhang, Changjun Zhou:
A Novel Adaptive Linear Neuron Based on DNA Strand Displacement Reaction Network. 1424-1434 - Hao Jiang, Fei Zhan, Congtao Wang, Jianfeng Qiu, Yansen Su, Chunhou Zheng, Xingyi Zhang, Xiangxiang Zeng:
A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein Interaction Networks. 1435-1448 - Sanjay S. Bankapur, Nagamma Patil:
An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network. 1449-1458 - Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang:
An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. 1459-1471 - Maryam Pouryahya, Jung Hun Oh, Pedram Javanmard, James C. Mathews, Zehor Belkhatir, Joseph O. Deasy, Allen R. Tannenbaum:
aWCluster: A Novel Integrative Network-Based Clustering of Multiomics for Subtype Analysis of Cancer Data. 1472-1483 - Hu Zhang, Jingsong Chen, Tianhai Tian:
Bayesian Inference of Stochastic Dynamic Models Using Early-Rejection Methods Based on Sequential Stochastic Simulations. 1484-1494 - Daiane Aparecida Zuanetti, Luís Aparecido Milan:
Bayesian Modeling for Epistasis Analysis Using Data-Driven Reversible Jump. 1495-1506 - Alex M. Ascensión, Marcos J. Araúzo-Bravo:
BigMPI4py: Python Module for Parallelization of Big Data Objects Discloses Germ Layer Specific DNA Demethylation Motifs. 1507-1522 - Conghua Wang, Haihong Liu, Zhonghua Miao, Jin Zhou:
Circadian Rhythm Regulated by Tumor Suppressor p53 and Time Delay in Unstressed Cells. 1523-1530 - Abhinandan Khan, Goutam Saha, Rajat Kumar Pal:
Controlling the Effects of External Perturbations on a Gene Regulatory Network Using Proportional-Integral-Derivative Controller. 1531-1544 - Omid Abbaszadeh, Ali Azarpeyvand, Alireza Khanteymoori, Abbas Bahari:
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data. 1545-1557 - Xiang Liu, Ning Shi, Yan Wang, Zhicheng Ji, Shan He:
Data-Driven Boolean Network Inference Using a Genetic Algorithm With Marker-Based Encoding. 1558-1569 - Debasis Gountia, Sudip Roy:
Design-for-Trust Techniques for Digital Microfluidic Biochip Layout With Error Control Mechanism⋆*A preliminary version of this paper appeared in the Proc. of IEEE Region 10 Symposium (TENSYMP), 2019 [1]. 1570-1582 - Yashpal Yadav, Sanjeev Narayan Sharma, Devendra Kumar Shakya:
Detection of Tandem Repeats in DNA Sequences Using Short-Time Ramanujan Fourier Transform. 1583-1591 - 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. 1592-1602 - Vahideh Vakil, Wade Trappe:
Drug-Resistant Cancer Treatment Strategies Based on the Dynamics of Clonal Evolution and PKPD Modeling of Drug Combinations. 1603-1614 - João Schapke, Anderson R. Tavares, Mariana Recamonde Mendoza:
EPGAT: Gene Essentiality Prediction With Graph Attention Networks. 1615-1626 - Jinwang Feng, Shaowu Zhang, Luonan Chen:
Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification. 1627-1639 - Shutao Chen, Lin Zhang, Lin Lu, Jia Meng, Hui Liu:
FBCwPlaid: A Functional Biclustering Analysis of Epi-Transcriptome Profiling Data Via a Weighted Plaid Model. 1640-1650 - Jing Wang, Haitao Wang, Hao Shen, Bing Wang, Ju H. Park:
Finite-Time $\mathcal {H}_{\infty }$H∞ State Estimation for PDT-Switched Genetic Regulatory Networks With Randomly Occurring Uncertainties. 1651-1660 - Syed Danish Ali, Waleed Alam, Hilal Tayara, Kil To Chong:
Identification of Functional piRNAs Using a Convolutional Neural Network. 1661-1669 - Nasrin Akhter, Kazi Lutful Kabir, Gopinath Chennupati, Raviteja Vangara, Boian S. Alexandrov, Hristo N. Djidjev, Amarda Shehu:
Improved Protein Decoy Selection via Non-Negative Matrix Factorization. 1670-1682 - Radhika Saraf, Aniruddha Datta, Chao Sima, Jianping Hua, Rosana Lopes, Michael L. Bittner, Tasha Miller, Heather M. Wilson-Robles:
In Silico Modeling of the Induction of Apoptosis by Cryptotanshinone in Osteosarcoma Cell Lines. 1683-1693 - Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang, Renyi Zhou, Min Li:
In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. 1694-1702 - Sheraz Naseer, Waqar Hussain, Yaser Daanial Khan, Nouman Rasool:
iPhosS(Deep)-PseAAC: Identification of Phosphoserine Sites in Proteins Using Deep Learning on General Pseudo Amino Acid Compositions. 1703-1714 - Wei Lan, Dehuan Lai, Qingfeng Chen, Ximin Wu, Baoshan Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen:
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning. 1715-1723 - Jinmiao Song, Shengwei Tian, Long Yu, Qimeng Yang, Yan Xing, Chao Zhang, Qiguo Dai, Xiaodong Duan:
MD-MLI: Prediction of miRNA-lncRNA Interaction by Using Multiple Features and Hierarchical Deep Learning. 1724-1733 - Yidan Zhang, Lei Duan, Huiru Zheng, Jesse Li-Ling, Ruiqi Qin, Zihao Chen, Chengxin He, Tingting Wang:
Mining Similar Aspects for Gene Similarity Explanation Based on Gene Information Network. 1734-1746 - Pei Liu, Jiawei Luo, Xiangtao Chen:
miRCom: Tensor Completion Integrating Multi-View Information to Deduce the Potential Disease-Related miRNA-miRNA Pairs. 1747-1759 - Gulden Olgun, Öznur Tastan:
miRCoop: Identifying Cooperating miRNAs via Kernel Based Interaction Tests. 1760-1771 - Kai Hakala, Suwisa Kaewphan, Jari Björne, Farrokh Mehryary, Hans Moen, Martti Tolvanen, Tapio Salakoski, Filip Ginter:
Neural Network and Random Forest Models in Protein Function Prediction. 1772-1781 - Ruzhang Zhao, Shaojun Pei, Stephen Shing-Toung Yau:
New Genome Sequence Detection via Natural Vector Convex Hull Method. 1782-1793 - Trinh Van Giang, Kunihiko Hiraishi:
On Attractor Detection and Optimal Control of Deterministic Generalized Asynchronous Random Boolean Networks. 1794-1806 - Yukun Tan, Fernando B. Lima Neto, Ulisses M. Braga-Neto:
PALLAS: Penalized mAximum LikeLihood and pArticle Swarms for Inference of Gene Regulatory Networks From Time Series Data. 1807-1816 - Yafeng Zhao, Zhen Chen, Xuan Gao, Wenlong Song, Qiang Xiong, Junfeng Hu, Zhichao Zhang:
Plant Disease Detection Using Generated Leaves Based on DoubleGAN. 1817-1826 - Mehrzad Saremi, Maryam Amirmazlaghani:
Reconstruction of Gene Regulatory Networks Using Multiple Datasets. 1827-1839 - Fu Liu, Yan Miao, Yun Liu, Tao Hou:
RNN-VirSeeker: A Deep Learning Method for Identification of Short Viral Sequences From Metagenomes. 1840-1849 - Hugo López-Fernández, Pedro Duque, Noé Vázquez, Florentino Fdez-Riverola, Miguel Reboiro-Jato, Cristina P. Vieira, Jorge Vieira:
SEDA: A Desktop Tool Suite for FASTA Files Processing. 1850-1860 - Yihe Pang, Bin Liu:
SelfAT-Fold: Protein Fold Recognition Based on Residue-Based and Motif-Based Self-Attention Networks. 1861-1869 - Cheng-Xian Lin, Haihong Liu, Tonghua Zhang, Yuan Zhang:
Stability and Bifurcation Analysis of a Diffusive miR-9/Hes1 Network With Time Delay. 1870-1880 - Pietro Bongini, Neri Niccolai, Alfonso Trezza, Guido Mangiavacchi, Annalisa Santucci, Ottavia Spiga, Monica Bianchini, Simone Gardini:
Structural Bioinformatic Survey of Protein-Small Molecule Interfaces Delineates the Role of Glycine in Surface Pocket Formation. 1881-1886 - Malik S. A., Ajaz Hussain Mir:
Synchronization of Fractional Order Neurons in Presence of Noise. 1887-1896 - Chengye Zou, Qiang Zhang, Xiaopeng Wei:
Synchronization of Hyper-Lorenz System Based on DNA Strand Displacement. 1897-1908 - Yunus Emre Isik, Yasin Görmez, Zafer Aydin, Burcu Bakir-Gungor:
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease. 1909-1918
Volume 19, Number 4, July - August 2022
- Jian Ma:
Guest Editorial for Selected Papers From ACM-BCB 2019. 1919 - Yue Guo, Oleh Krupa, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy:
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images. 1920-1932 - John Lazarsfeld, Jonathan Rodríguez, Mert Erden, Yuelin Liu, Lenore J. Cowen:
Majority Vote Cascading: A Semi-Supervised Framework for Improving Protein Function Prediction. 1933-1945 - Mira Barshai, Alice Aubert, Yaron Orenstein:
G4detector: Convolutional Neural Network to Predict DNA G-Quadruplexes. 1946-1955 - Pietro Pinoli, Gaia Ceddia, Stefano Ceri, Marco Masseroli:
Predicting Drug Synergism by Means of Non-Negative Matrix Tri-Factorization. 1956-1967 - Yang Qiu, Yang Zhang, Yifan Deng, Shichao Liu, Wen Zhang:
A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection. 1968-1985 - Yuanying Zhuang, Xiangrong Liu, Yue Zhong, Longxin Wu:
A Deep Ensemble Predictor for Identifying Anti-Hypertensive Peptides Using Pretrained Protein Embedding. 1986-1992 - Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li:
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. 1993-2002 - Xibin Jia, Zheng Sun, Qing Mi, Zhenghan Yang, Dawei Yang:
A Multimodality-Contribution-Aware TripNet for Histologic Grading of Hepatocellular Carcinoma. 2003-2016 - Shiming Wang, Jie Li, Yadong Wang, Liran Juan:
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions. 2017-2025 - Xiaojian Ding, Fan Yang, Yaoyi Zhong, Jie Cao:
A Novel Recursive Gene Selection Method Based on Least Square Kernel Extreme Learning Machine. 2026-2038 - Anik Chaudhuri, Anwoy Kumar Mohanty, Manoranjan Satpathy:
A Parallelizable Model for Analyzing Cancer Tissue Heterogeneity. 2039-2048 - Cunmei Ji, Yutian Wang, Zhen Gao, Lei Li, Jiancheng Ni, Chunhou Zheng:
A Semi-Supervised Learning Method for MiRNA-Disease Association Prediction Based on Variational Autoencoder. 2049-2059 - Raktim Kumar Mondol, Nhan Duy Truong, Mohammad Reza, Samuel J. Ippolito, Esmaeil Ebrahimie, Omid Kavehei:
AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes. 2060-2070 - Jingjing Ma, Haitao Jiang, Daming Zhu, Runmin Yang:
Algorithms and Hardness for Scaffold Filling to Maximize Increased Duo-Preservations. 2071-2079 - Atheer A. Matroud, Christopher P. Tuffley, Michael D. Hendy:
An Asymmetric Alignment Algorithm for Estimating Ancestor-Descendant Edit Distance for Tandem Repeats. 2080-2091 - Qichang Zhao, Mengyun Yang, Zhongjian Cheng, Yaohang Li, Jianxin Wang:
Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations. 2092-2110 - Debraj Ghosh, Rajat K. De:
Block Search Stochastic Simulation Algorithm (BlSSSA): A Fast Stochastic Simulation Algorithm for Modeling Large Biochemical Networks. 2111-2123 - Ritabrata Sanyal, Devroop Kar, Ram Sarkar:
Carcinoma Type Classification From High-Resolution Breast Microscopy Images Using a Hybrid Ensemble of Deep Convolutional Features and Gradient Boosting Trees Classifiers. 2124-2136 - Lopamudra Dey, Anirban Mukhopadhyay:
Compact Genetic Algorithm-Based Feature Selection for Sequence-Based Prediction of Dengue-Human Protein Interactions. 2137-2148 - Changli Feng, Jin Wu, Haiyan Wei, Lei Xu, Quan Zou:
CRCF: A Method of Identifying Secretory Proteins of Malaria Parasites. 2149-2157 - Cheng-Hong Yang, Kuo-Chuan Wu, Li-Yeh Chuang, Hsueh-Wei Chang:
DeepBarcoding: Deep Learning for Species Classification Using DNA Barcoding. 2158-2165 - Guoxian Yu, Yeqian Yang, Yangyang Yan, Maozu Guo, Xiangliang Zhang, Jun Wang:
DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks. 2166-2176 - Jun Wang, Long Zhang, An Zeng, Dawen Xia, Jiantao Yu, Guoxian Yu:
DeepIII: Predicting Isoform-Isoform Interactions by Deep Neural Networks and Data Fusion. 2177-2187 - Zhonghao Liu, Jing Jin, Yuxin Cui, Zheng Xiong, Alireza Nasiri, Yong Zhao, Jianjun Hu:
DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction. 2188-2196 - Betül Güvenç Paltun, Samuel Kaski, Hiroshi Mamitsuka:
DIVERSE: Bayesian Data IntegratiVE Learning for Precise Drug ResponSE Prediction. 2197-2207 - Zhongjian Cheng, Cheng Yan, Fang-Xiang Wu, Jianxin Wang:
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network. 2208-2218 - Dongyuan Li, Shuyao Zhang, Xiaoke Ma:
Dynamic Module Detection in Temporal Attributed Networks of Cancers. 2219-2230 - Chuang Liu, Yao Dai, Keping Yu, Zi-Ke Zhang:
Enhancing Cancer Driver Gene Prediction by Protein-Protein Interaction Network. 2231-2240 - Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Zhang Yi, Qing Lv:
Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection. 2241-2251 - Nikhilanand Arya, Sriparna Saha:
Generative Incomplete Multi-View Prognosis Predictor for Breast Cancer: GIMPP. 2252-2263 - Ana B. O. V. Silva, Eduardo Jaques Spinosa:
Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations. 2264-2271 - Fadi N. Sibai, Ali El-Moursy, Abu Asaduzzaman, Sohaib Majzoub:
Hardware Acceleration of the STRIKE String Kernel Algorithm for Estimating Protein to Protein Interactions. 2272-2283 - Ning Wang, Jun Zhang, Bin Liu:
IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation. 2284-2293 - Xiaoqiang Xu, Ping Xuan, Tiangang Zhang, Bingxu Chen, Nan Sheng:
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural Network. 2294-2304 - Meng Wang:
Inherent Nonlinear Distribution of High-Dimensional Genotypic Data Identified as a Possible Source of Confounding Factors in Population Structure Analysis. 2305-2312 - Kevin B. Dsouza, Adam Y. Li, Vijay K. Bhargava, Maxwell W. Libbrecht:
Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural Network. 2313-2323 - Shahabeddin Sotudian, Ioannis Ch. Paschalidis:
Machine Learning for Pharmacogenomics and Personalized Medicine: A Ranking Model for Drug Sensitivity Prediction. 2324-2333 - Halil Ibrahim Kuru, Öznur Tastan, A. Ercüment Çiçek:
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction. 2334-2344 - Pampa Howladar, Pranab Roy, Hafizur Rahaman:
MEDA Based Biochips: Detection, Prevention and Rectification Techniques for Cyberphysical Attacks. 2345-2355 - Ji Hwan Moon, Sangseon Lee, Minwoo Pak, Benjamin Hur, Sun Kim:
MLDEG: A Machine Learning Approach to Identify Differentially Expressed Genes Using Network Property and Network Propagation. 2356-2364 - Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong:
Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. 2365-2376 - Aleksandar Poleksic:
Overcoming Sparseness of Biomedical Networks to Identify Drug Repositioning Candidates. 2377-2384 - Qinlong Huang, Wei Yue, Yixian Yang, Lixuan Chen:
P2GT: Fine-Grained Genomic Data Access Control With Privacy-Preserving Testing in Cloud Computing. 2385-2398 - Yueyue Wang, Xiujuan Lei, Cheng Lu, Yi Pan:
Predicting Microbe-Disease Association Based on Multiple Similarities and LINE Algorithm. 2399-2408 - Zhaowei Wang, Qiguo Dai, Jinmiao Song, Xiaodong Duan, Hongpeng Yang, Ziqi Yang:
Predicting RBP Binding Sites of RNA With High-Order Encoding Features and CNN-BLSTM Hybrid Model. 2409-2419 - 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. 2420-2430 - Yiqing Shen, Jing Ke:
Sampling Based Tumor Recognition in Whole-Slide Histology Image With Deep Learning Approaches. 2431-2441 - Mengting Niu, Quan Zou:
SgRNA-RF: Identification of SgRNA On-Target Activity With Imbalanced Datasets. 2442-2453 - Riku Walve, Simon J. Puglisi, Leena Salmela:
Space-Efficient Indexing of Spaced Seeds for Accurate Overlap Computation of Raw Optical Mapping Data. 2454-2462 - Jon X. Genty, Md. Rafiul Amin, Natalie D. Shaw, Elizabeth B. Klerman, Rose T. Faghih:
Sparse Deconvolution of Pulsatile Growth Hormone Secretion in Adolescents. 2463-2470 - Changyong Yu, Keming Mao, Yuhai Zhao, Cheng Chang, Guoren Wang:
StLiter: A Novel Algorithm to Iteratively Build the Compacted de Bruijn Graph From Many Complete Genomes. 2471-2483 - Qi Li, Tijana Milenkovic:
Supervised Prediction of Aging-Related Genes From a Context-Specific Protein Interaction Subnetwork. 2484-2498 - Sara Sadat Aghamiri, Franck Delaplace:
TaBooN Boolean Network Synthesis Based on Tabu Search. 2499-2511 - Yanglan Gan, Ning Li, Cheng Guo, Guobing Zou, Jihong Guan, Shuigeng Zhou:
TiC2D: Trajectory Inference From Single-Cell RNA-Seq Data Using Consensus Clustering. 2512-2522 - Yu Liu, Ao Li, Jiangshu Liu, Gang Meng, Minghui Wang:
TSDLPP: A Novel Two-Stage Deep Learning Framework For Prognosis Prediction Based on Whole Slide Histopathological Images. 2523-2532 - Zeeshan Abbas, Hilal Tayara, Kil To Chong:
ZayyuNet - A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences. 2533-2544
Volume 19, Number 5, September - October 2022
- Da Yan, Hong Qin, Hsiang-Yun Wu, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2020. 2545-2546 - Rayol Mendonca-Neto, Zhi Li, David Fenyö, Cláudio T. Silva, Fabíola G. Nakamura, Eduardo Freire Nakamura:
A Gene Selection Method Based on Outliers for Breast Cancer Subtype Classification. 2547-2559 - Yuanyuan Jin, Wendi Ji, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang:
A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation. 2560-2571 - Andreia S. Martins, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira:
Learning Prognostic Models Using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis. 2572-2583 - Qingyu Chen, Jingcheng Du, Alexis Allot, Zhiyong Lu:
LitMC-BERT: Transformer-Based Multi-Label Classification of Biomedical Literature With An Application on COVID-19 Literature Curation. 2584-2595 - Jaswanth K. Yella, Anil G. Jegga:
MGATRx: Discovering Drug Repositioning Candidates Using Multi-View Graph Attention. 2596-2604 - Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong:
SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. 2605-2612 - Xiaojuan Guo, Kewei Chen, Yinghua Chen, Chengjie Xiong, Yi Su, Li Yao, Eric M. Reiman:
A Computational Monte Carlo Simulation Strategy to Determine the Temporal Ordering of Abnormal Age Onset Among Biomarkers of Alzheimer's Disease. 2613-2622 - Zhankun Xiong, Feng Huang, Ziyan Wang, Shichao Liu, Wen Zhang:
A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs. 2623-2631 - Qiao Ning, Xiaowei Zhao, Zhiqiang Ma:
A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data. 2632-2641 - Matthew LeMay, Ran Libeskind-Hadas, Yi-Chieh Wu:
A Polynomial-Time Algorithm for Minimizing the Deep Coalescence Cost for Level-1 Species Networks. 2642-2653 - Xuan Yang, Chen Yang, Jimeng Lei, Jianxiao Liu:
An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network. 2654-2671 - Chao Li, Jun Sun, Li-Wei Li, Xiaojun Wu, Vasile Palade:
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking. 2672-2684 - Ashish Ranjan, David Fernández-Baca, Sudhakar Tripathi, Akshay Deepak:
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation. 2685-2696 - Venkateshwarlu Yellaswamy Gudur, Sidharth Maheshwari, Amit Acharyya, Rishad A. Shafik:
An FPGA Based Energy-Efficient Read Mapper With Parallel Filtering and In-Situ Verification. 2697-2711 - Xinyi Qin, Lu Zhang, Min Liu, Ziwei Xu, Guangzhong Liu:
ASFold-DNN: Protein Fold Recognition Based on Evolutionary Features With Variable Parameters Using Full Connected Neural Network. 2712-2722 - Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu:
Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. 2723-2736 - Zhihao Huang, Yan Wang, Xiaoke Ma:
Clustering of Cancer Attributed Networks by Dynamically and Jointly Factorizing Multi-Layer Graphs. 2737-2748 - Muhammad Arif, Muhammad Kabir, Saeed Ahmed, Abid Khan, Fang Ge, Adel Khelifi, Dong-Jun Yu:
DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies. 2749-2759 - Yuqian Pu, Jiawei Li, Jijun Tang, Fei Guo:
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model. 2760-2769 - Pratik Dutta, Aditya Prakash Patra, Sriparna Saha:
DeePROG: Deep Attention-Based Model for Diseased Gene Prognosis by Fusing Multi-Omics Data. 2770-2781 - Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He:
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. 2782-2793 - Hamda Ajmal, Michael G. Madden:
Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data. 2794-2805 - Jian Liu, Jialiang Sun, Yongzhuang Liu:
Effective Identification of Bacterial Genomes From Short and Long Read Sequencing Data. 2806-2816 - Debopriya Ghosh, Javier Cabrera:
Enriched Random Forest for High Dimensional Genomic Data. 2817-2828 - Pei Wang, Daojie Wang:
Gene Differential Co-Expression Networks Based on RNA-Seq: Construction and Its Applications. 2829-2841 - Musab Naik, Luis Rueda, Akram Vasighizaker:
Identification of Enriched Regions in ChIP-Seq Data via a Linear-Time Multi-Level Thresholding Algorithm. 2842-2850 - Young-Joon Ko, Sangsoo Kim, Cheol-Ho Pan, Keunwan Park:
Identification of Functional Microbial Modules Through Network-Based Analysis of Meta-Microbial Features Using Matrix Factorization. 2851-2862 - Junrong Song, Wei Peng, Feng Wang:
Identifying Cancer Patient Subgroups by Finding Co-Modules From the Driver Mutation Profiles and Downstream Gene Expression Profiles. 2863-2872 - Siyuan Zhao, Jun Meng, Qiang Kang, Yushi Luan:
Identifying LncRNA-Encoded Short Peptides Using Optimized Hybrid Features and Ensemble Learning. 2873-2881 - Xiangyu Pan, Lun Hu, Pengwei Hu, Zhu-Hong You:
Identifying Protein Complexes From Protein-Protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information. 2882-2893 - Meng-Guo Wang, Le Ou-Yang, Hong Yan, Xiao-Fei Zhang:
Inferring Gene Co-Expression Networks by Incorporating Prior Protein-Protein Interaction Networks. 2894-2906 - Yuan Zhang, Fei Ye, Xieping Gao:
MCA-Net: Multi-Feature Coding and Attention Convolutional Neural Network for Predicting lncRNA-Disease Association. 2907-2919 - Jianli Liu, Deliang Zhou:
Minimum Functional Length Analysis of K-Mer Based on BPNN. 2920-2925 - Genwei Han, Zhufang Kuang, Lei Deng:
MSCNE: Predict miRNA-Disease Associations Using Neural Network Based on Multi-Source Biological Information. 2926-2937 - Itziar Irigoien, Bru Cormand, María Soler-Artigas, Cristina Sánchez-Mora, Josep-Antoni Ramos-Quiroga, Concepción Arenas:
New Distance-Based approach for Genome-Wide Association Studies. 2938-2949 - Cagatay Dursun, Anne E. Kwitek, Serdar Bozdag:
PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks. 2950-2962 - Yingying Song, Hui Cui, Tiangang Zhang, Tingxiao Yang, Xiaokun Li, Ping Xuan:
Prediction of Drug-Related Diseases Through Integrating Pairwise Attributes and Neighbor Topological Structures. 2963-2974 - Shuwen Wang, Xingquan Zhu:
Predictive Modeling of Hospital Readmission: Challenges and Solutions. 2975-2995 - Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP:
scRAE: Deterministic Regularized Autoencoders With Flexible Priors for Clustering Single-Cell Gene Expression Data. 2996-3007 - Afifa Navid, Sajjad Ahmad, Rida Sajjad, Saad Raza, Syed Sikander Azam:
Structure Based in Silico Screening Revealed a Potent Acinetobacter Baumannii Ftsz Inhibitor From Asinex Antibacterial Library. 3008-3018 - Shan-Ju Yeh, Bor-Sen Chen:
Systems Medicine Design based on Systems Biology Approaches and Deep Neural Network for Gastric Cancer. 3019-3031 - Eugene Uwiragiye, Kristen L. Rhinehardt:
TFIDF-Random Forest: Prediction of Aptamer-Protein Interacting Pairs. 3032-3037 - Raoul R. Nigmatullin, Samyadip Sarkar, Karabi Biswas:
The Detection of Self-Similar/Branching Processes in Complex Biological Systems: Analysis of the Temporal Evolution of Impedance Measurements in Tulsi (Holy Basil) Leaves "Ocimumtenuiflorum". 3038-3047 - Guoxian Yu, Qiuyue Huang, Xiangliang Zhang, Maozu Guo, Jun Wang:
Tissue Specificity Based Isoform Function Prediction. 3048-3059 - Alan J. X. Guo, Hao Qi:
Using Artificial Neural Networks to Model Errors in Biochemical Manipulation of DNA Molecules. 3060-3067
Volume 19, Number 6, November - December 2022
- Da Yan, Zhaohui S. Qin, Debswapna Bhattacharya, Jake Y. Chen:
Guest Editorial for Selected Papers From BIOKDD 2021. 3068-3069 - Cheng Ye, Rowan Swiers, Stephen Bonner, Ian P. Barrett:
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets. 3070-3080 - Ngan Dong, Stefanie Mücke, Megha Khosla:
MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction. 3081-3092 - Raquel Aoki, Frederick Tung, Gabriel L. Oliveira:
Heterogeneous Multi-Task Learning With Expert Diversity. 3093-3102 - Emre Sefer:
BioCode: A Data-Driven Procedure to Learn the Growth of Biological Networks. 3103-3113 - Kingshuk Mukherjee, Daniel Dole-Muinos, Massimiliano Rossi, Ayomide Ajayi, Mattia Prosperi, Christina Boucher:
Finding Overlapping Rmaps via Clustering. 3114-3123 - De-Shuang Huang, Kyungsook Han, Tatsuya Akutsu:
Guest Editorial for Special Section on the 16th International Conference on Intelligent Computing (ICIC). 3124-3125 - Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu:
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. 3126-3134 - Hsin-Hung Chou, Ching-Tien Hsu, Chin-Wei Hsu, Kai-Hsun Yao, Hao-Ching Wang, Sun-Yuan Hsieh:
Novel Algorithm for Improved Protein Classification Using Graph Similarity. 3135-3143 - Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape. 3144-3153 - Min Fang, Yufeng He, Zhihua Du, Vladimir N. Uversky:
DeepCLD: An Efficient Sequence-Based Predictor of Intrinsically Disordered Proteins. 3154-3159 - Xinguo Lu, Jinxin Li, Zhenghao Zhu, Yue Yuan, Guanyuan Chen, Keren He:
Predicting miRNA-Disease Associations via Combining Probability Matrix Feature Decomposition With Neighbor Learning. 3160-3170 - Qing-Wen Wu, Rui-Fen Cao, Jun-Feng Xia, Jian-Cheng Ni, Chunhou Zheng, Yan-Sen Su:
Extra Trees Method for Predicting LncRNA-Disease Association Based On Multi-Layer Graph Embedding Aggregation. 3171-3178 - Bo Li, Yihui Tian, Yang Tian, Shihua Zhang, Xiaolong Zhang:
Predicting Cancer Lymph-Node Metastasis From LncRNA Expression Profiles Using Local Linear Reconstruction Guided Distance Metric Learning. 3179-3189 - Wen Li, Shu-Lin Wang, Junlin Xu, Ju Xiang:
Inferring Latent MicroRNA-Disease Associations on a Gene-Mediated Tripartite Heterogeneous Multiplexing Network. 3190-3201 - Yulian Xie, Min Liu, Shirui Zhou, Yaonan Wang:
A Deep Local Patch Matching Network for Cell Tracking in Microscopy Image Sequences Without Registration. 3202-3212 - Zhanpeng Huang, Wu Jiekang:
A Multiview Clustering Method With Low-Rank and Sparsity Constraints for Cancer Subtyping. 3213-3223 - Nassima Aleb:
A Mutual Attention Model for Drug Target Binding Affinity Prediction. 3224-3232 - Jianshen Zhu, Naveed Ahmed Azam, Fan Zhang, Aleksandar Shurbevski, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu:
A Novel Method for Inferring Chemical Compounds With Prescribed Topological Substructures Based on Integer Programming. 3233-3245 - Yueran Yang, Yu Zhang, Shuai Li, Xubin Zheng, Man Hon Wong, Kwong-Sak Leung, Lixin Cheng:
A Robust and Generalizable Immune-Related Signature for Sepsis Diagnostics. 3246-3254 - Xinzhe Ni, Bohao Geng, Haoyu Zheng, Jiawei Shi, Gang Hu, Jianzhao Gao:
Accurate Estimation of Single-Cell Differentiation Potency Based on Network Topology and Gene Ontology Information. 3255-3262 - Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li:
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. 3263-3271 - Jingshu Bi, Yuanjie Zheng, Chongjing Wang, Yanhui Ding:
An Attention Based Bidirectional LSTM Method to Predict the Binding of TCR and Epitope. 3272-3280 - Sepideh Mazrouee:
ARHap: Association Rule Haplotype Phasing. 3281-3294 - Jiani Ma, Lin Zhang, Shaojie Li, Hui Liu:
BRPCA: Bounded Robust Principal Component Analysis to Incorporate Similarity Network for N7-Methylguanosine(m7G) Site-Disease Association Prediction. 3295-3306 - Ghazaleh Parvini, Katherine Braught, David Fernández-Baca:
Checking Phylogenetics Decisiveness in Theory and in Practice. 3307-3316 - Enzo Battistella, Maria Vakalopoulou, Roger Sun, Théo Estienne, Marvin Lerousseau, Sergey Nikolaev, Emilie Alvarez Andres, Alexandre Carré, Stéphane Niyoteka, Charlotte Robert, Nikos Paragios, Eric Deutsch:
COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. 3317-3331 - Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar:
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. 3332-3339 - Omar Shetta, Mahesan Niranjan, Srinandan Dasmahapatra:
Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data. 3340-3352 - Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. 3353-3365 - Xiao Ye, Yulin Wu, Jiangsheng Pi, Hong Li, Bo Liu, Yadong Wang, Junyi Li:
Deepgmd: A Graph-Neural-Network-Based Method to Detect Gene Regulator Module. 3366-3373 - Salma Alzahrani, Christopher Applegate, David Swarbreck, Tamas Dalmay, Leighton Folkes, Vincent Moulton:
Degradome Assisted Plant MicroRNA Prediction Under Alternative Annotation Criteria. 3374-3383 - Qiang Yin, Yanfen Zheng, Bin Wang, Qiang Zhang:
Design of Constraint Coding Sets for Archive DNA Storage. 3384-3394 - Fansen Xie, Ziqi Yang, Jinmiao Song, Qiguo Dai, Xiaodong Duan:
DHNLDA: A Novel Deep Hierarchical Network Based Method for Predicting lncRNA-Disease Associations. 3395-3403 - Changyong Yu, Yuhai Zhao, Chu Zhao, Haitao Ma, Guoren Wang:
DiagAF: A More Accurate and Efficient Pre-Alignment Filter for Sequence Alignment. 3404-3415 - Vladimír Boza, Peter Peresíni, Brona Brejová, Tomás Vinar:
Dynamic Pooling Improves Nanopore Base Calling Accuracy. 3416-3424 - Ruiyi Li, Zhiye Wang, Jihong Guan, Shuigeng Zhou:
Effectively Clustering Single Cell RNA Sequencing Data by Sparse Representation. 3425-3434 - Shuai Liu, Xinran Xu, Zhihao Yang, Xiaohan Zhao, Shichao Liu, Wen Zhang:
EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning. 3435-3443 - Miika Leinonen, Leena Salmela:
Extraction of Long k-mers Using Spaced Seeds. 3444-3455 - Lihong Peng, Chang Wang, Xiongfei Tian, Liqian Zhou, Keqin Li:
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture. 3456-3468 - Subhasree Majumder, Yogita Thakran, Vipin Pal, Kuldeep Singh:
Fuzzy and Rough Set Theory Based Computational Framework for Mining Genetic Interaction Triplets From Gene Expression Profiles for Lung Adenocarcinoma. 3469-3481 - S. Karen Khatamifard, Zamshed I. Chowdhury, Nakul Pande, Meisam Razaviyayn, Chris H. Kim, Ulya R. Karpuzcu:
GeNVoM: Read Mapping Near Non-Volatile Memory. 3482-3496 - Rui Yin, Nyi Nyi Thwin, Pei Zhuang, Zhuoyi Lin, Chee Keong Kwoh:
IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus. 3497-3506 - Lei Wang, Jiaxin Peng, Linai Kuang, Yihong Tan, Zhiping Chen:
Identification of Essential Proteins Based on Local Random Walk and Adaptive Multi-View Multi-Label Learning. 3507-3516 - Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo:
Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. 3517-3529 - Wei Lan, Yi Dong, Qingfeng Chen, Jin Liu, Jianxin Wang, Yi-Ping Phoebe Chen, Shirui Pan:
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling. 3530-3538 - Feng Shi, Hangcheng Li, Guozhen Rong, Zhen Zhang, Jianxin Wang:
Improved Fixed-Parameter Algorithm for the Tree Containment Problem on Unrooted Phylogenetic Network. 3539-3552 - Tejas Prashanth, Snehanshu Saha, Sumedh Basarkod, Suraj Aralihalli, Soma S. Dhavala, Sriparna Saha, Raviprasad Aduri:
LipGene: Lipschitz Continuity Guided Adaptive Learning Rates for Fast Convergence on Microarray Expression Data Sets. 3553-3563 - Borja Freire, Susana Ladra, José R. Paramá:
Memory-Efficient Assembly Using Flye. 3564-3577 - Dayun Liu, Junyi Liu, Yi Luo, Qihua He, Lei Deng:
MGATMDA: Predicting Microbe-Disease Associations via Multi-Component Graph Attention Network. 3578-3585 - Jacob Barger, Badri Adhikari:
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction. 3586-3594 - Anni Zhou, Raheem Beyah, Rishikesan Kamaleswaran:
OnAI-Comp: An Online AI Experts Competing Framework for Early Sepsis Detection. 3595-3603 - Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng Ni:
Predicting miRNA-Disease Association Based on Improved Graph Regression. 3604-3613 - Fang Jing, Shaowu Zhang, Shihua Zhang:
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network. 3614-3623 - Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, Julia Rahman, Md. Khaled Ben Islam, Shamim Ahmad:
predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization. 3624-3634 - Jun Hu, Yan-Song Bai, Lin-Lin Zheng, Ning-Xin Jia, Dong-Jun Yu, Gui-Jun Zhang:
Protein-DNA Binding Residue Prediction via Bagging Strategy and Sequence-Based Cube-Format Feature. 3635-3645 - Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang, Yuming Zhou, Zhaoquan Chen, Dan Li, Shicheng Zheng, Peng Chen, Bing Wang:
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. 3646-3654 - Jiangyi Shao, Junjie Chen, Bin Liu:
ProtRe-CN: Protein Remote Homology Detection by Combining Classification Methods and Network Methods via Learning to Rank. 3655-3662 - Zhen Cui, Zhan-Heng Chen, Qinhu Zhang, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang:
RMSCNN: A Random Multi-Scale Convolutional Neural Network for Marine Microbial Bacteriocins Identification. 3663-3672 - Manuel Cáceres, Brendan Mumey, Edin Husic, Romeo Rizzi, Massimo Cairo, Kristoffer Sahlin, Alexandru I. Tomescu:
Safety in Multi-Assembly via Paths Appearing in All Path Covers of a DAG. 3673-3684 - Hai-Yun Wang, Jian-ping Zhao, Yan-Sen Su, Chun-Hou Zheng:
scCDG: A Method Based on DAE and GCN for scRNA-Seq Data Analysis. 3685-3694 - Yujie Wang, Tianhao Guan, Gang Zhou, Hongqian Zhao, Jie Gao:
SOJNMF: Identifying Multidimensional Molecular Regulatory Modules by Sparse Orthogonality-Regularized Joint Non-Negative Matrix Factorization Algorithm. 3695-3703 - Xiaona Song, Xingru Li, Shuai Song, Choon Ki Ahn:
State Observer Design of Coupled Genetic Regulatory Networks With Reaction-Diffusion Terms via Time-Space Sampled-Data Communications. 3704-3714 - Mirza Jawad ul Hasnain, Farhat Amin, Aisha Ghani, Sibtain Ahmad, Ziaur Rahman, Tahera Aslam, Muhammad Tariq Pervez:
Structural and Functional Impact of Damaging Nonsynonymous Single Nucleotide Polymorphisms (nsSNPs) on Human VPS35 Protein Using Computational Approaches. 3715-3724 - Ying An, Kun Tang, Jianxin Wang:
Time-Aware Multi-Type Data Fusion Representation Learning Framework for Risk Prediction of Cardiovascular Diseases. 3725-3734 - Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang:
To Improve Prediction of Binding Residues With DNA, RNA, Carbohydrate, and Peptide Via Multi-Task Deep Neural Networks. 3735-3743 - Esmaeil Nourani, Ehsaneddin Asgari, Alice C. McHardy, Mohammad R. K. Mofrad:
TripletProt: Deep Representation Learning of Proteins Based On Siamese Networks. 3744-3753
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