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Min Li 0007
Person information
- affiliation: Central South University, School of Information Science and Engineering, Changsha, China
Other persons with the same name
- Min Li — disambiguation page
- Min Li 0001 (aka: Min (Leon) Li) — IMEC, Heverlee, Belgium
- Min Li 0002 — George Mason University, Department of Geography and Geoinformation Science, Fairfax, VA, USA (and 1 more)
- Min Li 0003
— Xi'an Jiaotong University, School of Mechanical Engineering, China (and 2 more)
- Min Li 0004
- Min Li 0005
- Min Li 0006 — Beijing Institute of Technology, Institute of Application Specific Instruction-Set Processors, China
- Min Li 0008
- Min Li 0009
- Min Li 0010
- Min Li 0011
- Min Li 0012 — University of Florida, Scalable Software Systems Laboratory, Gainesville, FL, USA
- Min Li 0013 — Virginia Tech, Blacksburg, VA, USA
- Min Li 0014 — University of California, San Diego, USA
- Min Li 0015 — Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
- Min Li 0016
- Min Li 0017
- Min Li 0018 — Sanya Aviation and Tourism College, Sanya, China
- Min Li 0019
- Min Li 0020
- Min Li 0021
- Min Li 0022 — Alibaba Group (and 2 more)
- Min Li 0023 — University of Electronic Science and Technology of China (UESTC), School of Automation Engineering, Chengdu, China
- Min Li 0024
- Min Li 0025
- Min Li 0026 — University of Electronic Science and Technology of China, Institute of Fundamental and Frontier Sciences, Chengdu, China
- Min Li 0027
- Min Li 0028
- Min Li 0029
- Min Li 0030 — Xi'an Research Institute of High Technology, China (and 1 more)
- Min Li 0031
- Min Li 0032
- Min Li 0033
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2020 – today
- 2024
- [j148]Meng Wang, Chuqi Lei, Jianxin Wang
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. 25(3) (2024) - [j147]Yichao Zhao
MDDOmics: multi-omics resource of major depressive disorder. Database J. Biol. Databases Curation 2024 (2024) - [j146]Lei Song
LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction. J. Chem. Inf. Model. 64(8): 3105-3113 (2024) - [j145]Xiang Du, Xinliang Sun, Min Li
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning. J. Chem. Inf. Model. 64(12): 4928-4937 (2024) - [j144]Yang Gao
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94: 103160 (2024) - [c74]Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin:
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. ACL (Findings) 2024: 9191-9200 - [c73]Jianing Wang
CellCom: A web server for prediction, visualization, and evaluation of cell-cell communication mediated by ligand-receptor pairs. BCB 2024: 3:1-3:7 - [c72]Senbiao Fang
RBVS: Database of the Receptor-Based Virtual Screening. BCB 2024: 4:1-4:9 - [c71]Yongheng Zhang, Peng Wang
LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification. ICASSP 2024: 11406-11410 - [c70]Yongxin He, Jin Liu, Min Li, Ruiqing Zheng:
scCoRR: A Data-Driven Self-correction Framework for Labeled scRNA-Seq Data. ISBRA (2) 2024: 47-58 - [i12]Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, Philip S. Yu:
Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers. CoRR abs/2404.04925 (2024) - [i11]Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S. Yu:
Large Language Models Meet NLP: A Survey. CoRR abs/2405.12819 (2024) - [i10]Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao:
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules. CoRR abs/2406.12300 (2024) - [i9]Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin:
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. CoRR abs/2406.13940 (2024) - [i8]Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che:
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration. CoRR abs/2410.20482 (2024) - 2023
- [j143]Siqi Chen, Xuhua Yan, Ruiqing Zheng
Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data. Briefings Bioinform. 24(1) (2023) - [j142]Min Li
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings Bioinform. 24(1) (2023) - [j141]Kaili Wang
RLBind: a deep learning method to predict RNA-ligand binding sites. Briefings Bioinform. 24(1) (2023) - [j140]Yongfan Ming, Wenkang Wang
A review of enzyme design in catalytic stability by artificial intelligence. Briefings Bioinform. 24(3) (2023) - [j139]Meng Wang, Lukasz A. Kurgan
A comprehensive assessment and comparison of tools for HLA class I peptide-binding prediction. Briefings Bioinform. 24(3) (2023) - [j138]Ze-Ying Feng
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications. Briefings Bioinform. 24(4) (2023) - [j137]Yanping Zeng, Yongxin He, Ruiqing Zheng
Inferring single-cell gene regulatory network by non-redundant mutual information. Briefings Bioinform. 24(5) (2023) - [j136]Xuehong Wu, Junwen Duan, Yi Pan, Min Li:
Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications. Big Data Min. Anal. 6(2): 201-217 (2023) - [j135]Yiming Li, Min Zeng
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. 39(1) (2023) - [j134]Xuhua Yan, Ruiqing Zheng
CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. 39(3) (2023) - [j133]Xuhua Yan, Ruiqing Zheng
scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization. Bioinform. 39(8) (2023) - [j132]Min Zeng
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinform. 39(12) (2023) - [j131]Chuqi Lei, Zhangli Lu, Meng Wang
StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features. Comput. Biol. Medicine 164: 107131 (2023) - [j130]Rui Yin
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics 142: 104388 (2023) - [j129]Kunying Niu, Yifan Wu, Yaohang Li, Min Li:
Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics 143: 104396 (2023) - [j128]Teng-Zhi Long
Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches. J. Chem. Inf. Model. 63(1): 111-125 (2023) - [j127]Alessio Del Conte
CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins. Nucleic Acids Res. 51(W1): 62-69 (2023) - [j126]Min Li
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 833-842 (2023) - [j125]Zhipeng Cai
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3329-3331 (2023) - [j124]Jianxin Wang, Min Li, Edwin Wang, Jing Tang
The Impact of Computational Drug Discovery on Society. IEEE Trans. Comput. Soc. Syst. 10(5): 2148-2159 (2023) - [j123]Wenkang Wang
CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes. IEEE J. Biomed. Health Informatics 27(9): 4569-4578 (2023) - [j122]Kaili Wang
Fusion-Based Deep Learning Architecture for Detecting Drug-Target Binding Affinity Using Target and Drug Sequence and Structure. IEEE J. Biomed. Health Informatics 27(12): 6112-6120 (2023) - [c69]Ruiqing Zheng, Yanping Zeng, Weixing Zeng, Min Li:
A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network. BIBM 2023: 215-221 - [c68]Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. EMNLP 2023: 5925-5941 - [c67]Yifan Wu, Shichao Kan, Min Zeng
Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer. IJCAI 2023: 4433-4441 - [i7]Libo Qin, Wenbo Pan, Qiguang Chen, Lizi Liao, Zhou Yu, Yue Zhang, Wanxiang Che, Min Li:
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions. CoRR abs/2311.09008 (2023) - [i6]Zhangli Lu, Chuqi Lei, Kaili Wang
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms. CoRR abs/2312.15252 (2023) - 2022
- [j121]Min Zeng
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23(1) (2022) - [j120]Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23(1) (2022) - [j119]Ju Xiang, Jiashuai Zhang, Yichao Zhao, Fang-Xiang Wu, Min Li:
Biomedical data, computational methods and tools for evaluating disease-disease associations. Briefings Bioinform. 23(2) (2022) - [j118]Ju Xiang
HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. 23(3) (2022) - [j117]Xuhua Yan, Ruiqing Zheng, Min Li:
GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets. Briefings Bioinform. 23(5) (2022) - [j116]Rui Yin
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods. Briefings Bioinform. 23(5) (2022) - [j115]Min Li
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38(7): 1995-2002 (2022) - [j114]Fang-Xiang Wu, Min Li, Lukasz A. Kurgan
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469: 330-331 (2022) - [j113]Yifan Wu, Min Zeng
KAICD: A knowledge attention-based deep learning framework for automatic ICD coding. Neurocomputing 469: 376-383 (2022) - [j112]Li Tang, Zhizhou Zhong
EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. Nucleic Acids Res. 50(W1): 290-297 (2022) - [j111]Zhipeng Cai
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 166-167 (2022) - [j110]Haonan Feng
NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1042-1049 (2022) - [j109]Xiangmao Meng
DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1592-1602 (2022) - [j108]Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang
In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1694-1702 (2022) - [j107]Xingyi Li, Ju Xiang
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 1993-2002 (2022) - [j106]Yiming Li, Min Zeng
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3263-3271 (2022) - [j105]Yifan Wu, Min Zeng
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26(10): 5201-5212 (2022) - [j104]Xinliang Sun
Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network. IEEE J. Biomed. Health Informatics 26(11): 5757-5765 (2022) - [j103]Xiangmao Meng
Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 9(5): 3504-3514 (2022) - [c66]Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li:
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM 2022: 194-199 - [c65]Ziwei Xu, Ruiqing Zheng, Yuxuan Chen, Edwin Wang, Min Li:
A single cell potency inference method based on the local cell-specific network entropy. BIBM 2022: 247-252 - [c64]Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. BIBM 2022: 398-403 - [c63]Xuehong Wu, Yifan Wu, Min Li:
MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records. BIBM 2022: 1755-1758 - [c62]Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He:
Coded Residual Transform for Generalizable Deep Metric Learning. NeurIPS 2022 - [i5]Huimin Zhu, Renyi Zhou, Jing Tang
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation. CoRR abs/2207.00821 (2022) - [i4]Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li:
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. CoRR abs/2208.04314 (2022) - [i3]Shichao Kan, Yixiong Liang, Min Li, Yigang Cen, Jianxin Wang, Zhihai He:
Coded Residual Transform for Generalizable Deep Metric Learning. CoRR abs/2210.04180 (2022) - 2021
- [j102]Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang
Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species. Briefings Bioinform. 22(2): 963-975 (2021) - [j101]Huimin Luo, Min Li, Mengyun Yang
Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22(2): 1604-1619 (2021) - [j100]Kaili Wang
DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. 22(5) (2021) - [j99]Ju Xiang
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction. Briefings Bioinform. 22(5) (2021) - [j98]Chengqian Lu
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36(24): 5656-5664 (2021) - [j97]Xiangmao Meng
Protein interaction networks: centrality, modularity, dynamics, and applications. Frontiers Comput. Sci. 15(1) (2021) - [j96]Zhenlan Liang
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. 19(2): 282-291 (2021) - [j95]Shehu Mohammed Yusuf
DeepPPF: A deep learning framework for predicting protein family. Neurocomputing 428: 19-29 (2021) - [j94]Nian Wang, Min Zeng
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28(7): 687-700 (2021) - [j93]Min Zeng
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 296-305 (2021) - [j92]Ruiqing Zheng, Min Li
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 347-354 (2021) - [j91]Huimin Luo, Jianxin Wang
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 463-471 (2021) - [j90]Min Li
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 575-582 (2021) - [j89]Zhen Zhang, Junwei Luo
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1070-1081 (2021) - [j88]Xingyu Liao
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1492-1503 (2021) - [j87]Fuhao Zhang, Hong Song, Min Zeng
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2208-2217 (2021) - [j86]Min Zeng
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2353-2363 (2021) - [j85]Xingyi Li, Ju Xiang
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2483-2491 (2021) - [j84]Chengqian Lu
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25(3): 891-899 (2021) - [c61]Min Zeng
Improving human essential protein prediction using only protein sequences via ensemble learning. BIBM 2021: 98-103 - [c60]Yanping Zeng, Xuhua Yan, Zhenlan Liang, Ruiqing Zheng, Min Li:
MKG: a mutual information based method to infer single cell gene regulatory network. BIBM 2021: 223-228 - [c59]Zhenlan Liang, Ruiqing Zheng, Siqi Chen, Xuhua Yan, Min Li:
DeepCI: a deep learning based clustering method for single cell RNA-seq data. BIBM 2021: 302-307 - [c58]Xuehong Wu, Junwen Duan, Jianhua Li, Min Li:
nPTAS: A Novel Platform for Text Annotation and Service. BIBM 2021: 544-549 - [c57]Sajida Raz Bhutto, Yifan Wu, Ying Yu, Akhtar Hussain Jalbani, Min Li:
A Hybrid Pooling Based Deep Learning Framework For Automated ICD Coding. BIBM 2021: 823-828 - [c56]Wenkang Wang
Overlapping Protein Complexes Detection Based on Multi-level Topological Similarities. ISBRA 2021: 215-226 - [e4]Yanjie Wei, Min Li, Pavel Skums, Zhipeng Cai:
Bioinformatics Research and Applications - 17th International Symposium, ISBRA 2021, Shenzhen, China, November 26-28, 2021, Proceedings. Lecture Notes in Computer Science 13064, Springer 2021, ISBN 978-3-030-91414-1 [contents] - [i2]Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang:
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. CoRR abs/2101.12547 (2021) - [i1]Yifan Wu, Min Zeng, Ying Yu, Min Li:
A Pseudo Label-wise Attention Network for Automatic ICD Coding. CoRR abs/2106.06822 (2021) - 2020
- [j83]Xingyi Li, Wenkai Li, Min Zeng
Network-based methods for predicting essential genes or proteins: a survey. Briefings Bioinform. 21(2): 566-583 (2020) - [j82]Wei Lan
CircR2Cancer: a manually curated database of associations between circRNAs and cancers. Database J. Biol. Databases Curation 2020 (2020) - [j81]Min Zeng
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020) - [j80]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. 21-S(6): 203 (2020) - [j79]Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu
MADA: a web service for analysing DNA methylation array data. BMC Bioinform. 21-S(6): 403 (2020) - [j78]Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng
NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. 21-S(13): 387 (2020) - [j77]Xingyu Liao
Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17(1): 177-188 (2020) - [j76]Xingyu Liao
An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 728-738 (2020) - [j75]Min Li
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020) - [j74]Binbin Wu, Min Li
MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 847-857 (2020) - [j73]Junwei Luo, Jianxin Wang
GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 877-886 (2020) - [j72]Hui Jiang
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1032-1041 (2020) - [j71]Gaoshi Li, Min Li
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1451-1458 (2020) - [j70]Chengqian Lu
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24(8): 2420-2429 (2020) - [j69]Hui Jiang
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics 24(12): 3630-3641 (2020) - [c55]Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng
A robust single cell clustering method based on subspace learning and partial imputation. BIBM 2020: 140-145 - [c54]Xingyi Li, Ju Xiang, Fang-Xiang Wu
A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM 2020: 281-286 - [c53]Hao Gao, Min Li, Fang-Xiang Wu
SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA 2020: 26-37 - [c52]Nian Wang, Min Zeng
Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA 2020: 95-104
2010 – 2019
- 2019
- [j68]Min Li
Control principles for complex biological networks. Briefings Bioinform. 20(6): 2253-2266 (2019) - [j67]Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang:
Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. 2(4): 288-305 (2019) - [j66]Min Li, Li Tang, Fang-Xiang Wu
SCOP: a novel scaffolding algorithm based on contig classification and optimization. Bioinform. 35(7): 1142-1150 (2019) - [j65]Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. 35(11): 1893-1900 (2019) - [j64]Ruiqing Zheng, Min Li
SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. 35(19): 3642-3650 (2019) - [j63]Min Li
CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. 20-S(15): 515 (2019) - [j62]Min Zeng
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. 20-S(16): 506:1-506:10 (2019) - [j61]Fang-Xiang Wu
Deep learning for biological/clinical data. Neurocomputing 324: 1-2 (2019) - [j60]Min Zeng
Automatic ICD-9 coding via deep transfer learning. Neurocomputing 324: 43-50 (2019) - [j59]Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics 91 (2019) - [j58]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. 34(1): 3-15 (2019) - [j57]Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
Controllability and Its Applications to Biological Networks. J. Comput. Sci. Technol. 34(1): 16-34 (2019) - [j56]Min Li, Cai-Feng Luo:
Correlation Analysis of Mental Health Status and Sleep Quality in Helicobacter pylori Positive Patients. J. Medical Imaging Health Informatics 9(8): 1600-1606 (2019) - [j55]Xingyu Liao
Current challenges and solutions of de novo assembly. Quant. Biol. 7(2): 90-109 (2019) - [j54]Min Li
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 417-424 (2019) - [j53]Min Li
A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 764-773 (2019) - [j52]Min Li
Automated ICD-9 Coding via A Deep Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1193-1202 (2019) - [j51]Min Li
Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1386-1397 (2019) - [j50]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Peng Ni, Kaijie Zhao, Fang-Xiang Wu, Yi Pan:
Computational Drug Repositioning with Random Walk on a Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 16(6): 1890-1900 (2019) - [c51]Xiang Chen, Fang-Xiang Wu
DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM 2019: 111-116 - [c50]Zhangli Lu, Yake Wang, Min Zeng
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM 2019: 211-214 - [c49]Xiangmao Meng
Detecting protein complex based on hierarchical compressing network embedding. BIBM 2019: 215-218 - [c48]Min Zeng
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582 - [c47]Xinyu Hu, Min Li, Linconghua Wang, Xingyi Li, Fang-Xiang Wu
Classification of Schizophrenia by Iterative Random Forest Feature Selection Based on DNA Methylation Array Data. BIBM 2019: 807-811 - [c46]Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM 2019: 812-817 - [c45]Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu
Tentative diagnosis prediction via deep understanding of patient narratives. BIBM 2019: 1000-1003 - [c44]Xingyi Li, Ju Xiang, Jianxin Wang, Fang-Xiang Wu
Identification of Prognostic and Heterogeneous Breast Cancer Biomarkers Based on Fusion Network and Multiple Scoring Strategies. ICIC (2) 2019: 529-534 - [e3]Zhipeng Cai, Pavel Skums, Min Li:
Bioinformatics Research and Applications - 15th International Symposium, ISBRA 2019, Barcelona, Spain, June 3-6, 2019, Proceedings. Lecture Notes in Computer Science 11490, Springer 2019, ISBN 978-3-030-20241-5 [contents] - 2018
- [j49]Jin Liu, Yi Pan
Applications of deep learning to MRI images: A survey. Big Data Min. Anal. 1(1): 1-18 (2018) - [j48]Andy Ramlatchan, Mengyun Yang
A survey of matrix completion methods for recommendation systems. Big Data Min. Anal. 1(4): 308-323 (2018) - [j47]Lin Wu, Min Li, Jianxin Wang, Fang-Xiang Wu
CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis. Bioinform. 34(8): 1428-1430 (2018) - [j46]Min Li, Jie Yang, Fang-Xiang Wu
DyNetViewer: a Cytoscape app for dynamic network construction, analysis and visualization. Bioinform. 34(9): 1597-1599 (2018) - [j45]Huimin Luo, Min Li, Shaokai Wang, Quan Liu, Yaohang Li, Jianxin Wang:
Computational drug repositioning using low-rank matrix approximation and randomized algorithms. Bioinform. 34(11): 1904-1912 (2018) - [j44]Chengqian Lu
Prediction of lncRNA-disease associations based on inductive matrix completion. Bioinform. 34(19): 3357-3364 (2018) - [j43]Fang-Xiang Wu
Biomolecular Networks for Complex Diseases. Complex. 2018: 4210160:1-4210160:3 (2018) - [j42]Jin Liu, Min Li
Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 624-632 (2018) - [j41]Wei Lan
Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1774-1782 (2018) - [c43]Min Zeng
A Deep Learning Framework for Identifying Essential Proteins Based on Protein-Protein Interaction Network and Gene Expression Data. BIBM 2018: 583-588 - [c42]Donglin Guo, Min Li, Ying Yu, Yaohang Li, Guihua Duan, Fang-Xiang Wu
Disease Inference with Symptom Extraction and Bidirectional Recurrent Neural Network. BIBM 2018: 864-868 - [c41]Yake Wang, Min Li, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu
Using Deep Neural Network to Predict Drug Sensitivity of Cancer Cell Lines. ICIC (2) 2018: 223-226 - [c40]Siyu Zhao, Ruiqing Zheng, Xiang Chen, Yaohang Li, Fang-Xiang Wu
PBMarsNet: A Multivariate Adaptive Regression Splines Based Method to Reconstruct Gene Regulatory Networks. ISBRA 2018: 38-48 - [c39]Zhen Zhang, Jianxin Wang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu
Sprites2: Detection of Deletions Based on an Accurate Alignment Strategy. ISBRA 2018: 139-150 - [c38]Liangliang Liu, Shuai Yang, Li Meng, Min Li, Jianxin Wang:
Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images. BrainLes@MICCAI (1) 2018: 283-291 - 2017
- [j40]Junwei Luo, Jianxin Wang, Zhen Zhang, Min Li, Fang-Xiang Wu
BOSS: a novel scaffolding algorithm based on an optimized scaffold graph. Bioinform. 33(2): 169-176 (2017) - [j39]Wei Lan
LDAP: a web server for lncRNA-disease association prediction. Bioinform. 33(3): 458-460 (2017) - [j38]Min Li, Ping Huang, Xiaodong Yan, Jianxin Wang, Yi Pan
VAliBS: a visual aligner for bisulfite sequences. BMC Bioinform. 18(S-12): 91-98 (2017) - [j37]Min Li, Binbin Wu, Xiaodong Yan, Junwei Luo, Yi Pan
PECC: Correcting contigs based on paired-end read distribution. Comput. Biol. Chem. 69: 178-184 (2017) - [j36]Jin Liu, Min Li
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey. Complex. 2017: 8362741:1-8362741:27 (2017) - [j35]Wei Peng, Min Li, Lu Chen, Lusheng Wang:
Predicting Protein Functions by Using Unbalanced Random Walk Algorithm on Three Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 360-369 (2017) - [j34]Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu
United Complex Centrality for Identification of Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 370-380 (2017) - [j33]Min Li
ISEA: Iterative Seed-Extension Algorithm for De Novo Assembly Using Paired-End Information and Insert Size Distribution. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 916-925 (2017) - [j32]Jiancheng Zhong, Jianxin Wang
Protein Inference from the Integration of Tandem MS Data and Interactome Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1399-1409 (2017) - [c37]Binbin Wu, Jianxin Wang, Junwei Luo, Min Li, Fang-Xiang Wu
MEC: Misassembly error correction in contigs using a combination of paired-end reads and GC-contents. BIBM 2017: 216-221 - [c36]Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu
An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM 2017: 861-864 - [c35]Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu
LSLS: A Novel Scaffolding Method Based on Path Extension. ICIC (2) 2017: 428-438 - [c34]Peng Ni, Min Li, Ping Zhong
Relating Diseases Based on Disease Module Theory. ISBRA 2017: 24-33 - [c33]Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li:
Construction of Protein Backbone Fragments Libraries on Large Protein Sets Using a Randomized Spectral Clustering Algorithm. ISBRA 2017: 108-119 - [e2]Beiji Zou, Min Li, Hongzhi Wang
Data Science - Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22-24, 2017, Proceedings, Part I. Communications in Computer and Information Science 727, Springer 2017, ISBN 978-981-10-6384-8 [contents] - [e1]Zhipeng Cai, Ovidiu Daescu, Min Li:
Bioinformatics Research and Applications - 13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 - June 2, 2017, Proceedings. Lecture Notes in Computer Science 10330, Springer 2017, ISBN 978-3-319-59574-0 [contents] - 2016
- [j31]Huimin Luo, Jianxin Wang, Min Li, Junwei Luo, Xiaoqing Peng, Fang-Xiang Wu
Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm. Bioinform. 32(17): 2664-2671 (2016) - [j30]Min Li, Yu Tang, Xuehong Wu
C-DEVA: Detection, evaluation, visualization and annotation of clusters from biological networks. Biosyst. 150: 78-86 (2016) - [j29]Gaoshi Li, Min Li, Jianxin Wang, Jingli Wu, Fang-Xiang Wu
Predicting essential proteins based on subcellular localization, orthology and PPI networks. BMC Bioinform. 17(S-8): 279 (2016) - [j28]Ashraf Yaseen
FLEXc: protein flexibility prediction using context-based statistics, predicted structural features, and sequence information. BMC Bioinform. 17(S-8): 281 (2016) - [j27]Wei Lan
Predicting drug-target interaction using positive-unlabeled learning. Neurocomputing 206: 50-57 (2016) - [j26]Sheng-You Huang, Min Li, Jianxin Wang, Yi Pan
HybridDock: A Hybrid Protein-Ligand Docking Protocol Integrating Protein- and Ligand-Based Approaches. J. Chem. Inf. Model. 56(6): 1078-1087 (2016) - [c32]Hao Ji
An Apache Spark Implementation of Block Power Method for Computing Dominant Eigenvalues and Eigenvectors of Large-Scale Matrices. BDCloud-SocialCom-SustainCom 2016: 554-559 - [c31]Wei Lan
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning. BIBM 2016: 27-32 - [c30]Lin Wu, Lingkai Tang, Min Li, Jianxin Wang, Fang-Xiang Wu
The MSS of complex networks with centrality based preference and its application to biomolecular networks. BIBM 2016: 229-234 - [c29]Xiangmao Meng
Construction of the spatial and temporal active protein interaction network for identifying protein complexes. BIBM 2016: 631-636 - [c28]Min Li, Xiaopei Chen, Peng Ni, Jianxin Wang, Yi Pan
Identifying Essential Proteins by Purifying Protein Interaction Networks. ISBRA 2016: 106-116 - 2015
- [j25]Junwei Luo, Jianxin Wang, Zhen Zhang, Fang-Xiang Wu
EPGA: de novo assembly using the distributions of reads and insert size. Bioinform. 31(6): 825-833 (2015) - [j24]Junwei Luo, Jianxin Wang, Weilong Li, Zhen Zhang, Fang-Xiang Wu
EPGA2: memory-efficient de novo assembler. Bioinform. 31(24): 3988-3990 (2015) - [j23]Yu Tang, Min Li, Jianxin Wang, Yi Pan
CytoNCA: A cytoscape plugin for centrality analysis and evaluation of protein interaction networks. Biosyst. 127: 67-72 (2015) - [j22]Xiaoqing Peng, Jianxin Wang, Zhen Zhang, Qianghua Xiao, Min Li, Yi Pan
Re-alignment of the unmapped reads with base quality score. BMC Bioinform. 16(S-5): S8 (2015) - [j21]Weijie Chen, Min Li, Xuehong Wu
Identifying protein complexes based on the integration of PPI network and gene expression data. Int. J. Bioinform. Res. Appl. 11(1): 30-44 (2015) - [j20]Lu Chen, Yingjiao Cheng, Min Li, Jianxin Wang:
Proteins involved in more domain types tend to be more essential. Int. J. Bioinform. Res. Appl. 11(2): 91-110 (2015) - [j19]Jun Ren, Jianxin Wang, Min Li, Fang-Xiang Wu
Discovering essential proteins based on PPI network and protein complex. Int. J. Data Min. Bioinform. 12(1): 24-43 (2015) - [j18]Min Li, Yu Lu, Jianxin Wang, Fang-Xiang Wu
A Topology Potential-Based Method for Identifying Essential Proteins from PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 372-383 (2015) - [j17]Jianxin Wang, Jiancheng Zhong, Gang Chen, Min Li, Fang-Xiang Wu
ClusterViz: A Cytoscape APP for Cluster Analysis of Biological Network. IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 815-822 (2015) - [c27]Wei Lan
Predicting microRNA-disease associations by integrating multiple biological information. BIBM 2015: 183-188 - [c26]Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
A two-step logistic regression algorithm for identifying individual-cancer-related genes. BIBM 2015: 195-200 - 2014
- [j16]Wei Peng, Jianxin Wang, Juan Cai, Lu Chen, Min Li, Fang-Xiang Wu
Improving protein function prediction using domain and protein complexes in PPI networks. BMC Syst. Biol. 8: 35 (2014) - [j15]Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu
Prediction of disease genes using tissue-specified gene-gene network. BMC Syst. Biol. 8(S-3): S3 (2014) - [j14]Bihai Zhao, Jianxin Wang, Min Li, Fang-Xiang Wu
Detecting Protein Complexes Basedon Uncertain Graph Model. IEEE ACM Trans. Comput. Biol. Bioinform. 11(3): 486-497 (2014) - [c25]Bolin Chen, Min Li, Jianxin Wang, Fang-Xiang Wu
A logistic regression based algorithm for identifying human disease genes. BIBM 2014: 197-200 - [c24]Lin Wu, Yichao Shen, Min Li, Fang-Xiang Wu
Drug Target Identification Based on Structural Output Controllability of Complex Networks. ISBRA 2014: 188-199 - [c23]Min Li, Yu Lu, Zhibei Niu, Fang-Xiang Wu
Identification of Essential Proteins by Using Complexes and Interaction Network. ISBRA 2014: 255-265 - [c22]Xiaojun Ding, Haihua Gu, Zhen Zhang, Min Li, Fang-Xiang Wu
Searching SNP Combinations Related to Evolutionary Information of Human Populations on HapMap Data. ISBRA 2014: 278-288 - 2013
- [j13]Jianxin Wang, Xiaoqing Peng, Qianghua Xiao, Min Li, Yi Pan
An effective method for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation. BMC Syst. Biol. 7: 28 (2013) - [j12]Jun Ren, Jianxin Wang, Min Li, Lusheng Wang
Identifying protein complexes based on density and modularity in protein-protein interaction network. BMC Syst. Biol. 7(S-4): S12 (2013) - [j11]Min Li, Jianxin Wang, Huan Wang, Yi Pan
Identification of Essential proteins from Weighted protein-protein Interaction Networks. J. Bioinform. Comput. Biol. 11(3) (2013) - [c21]Jun Ren, Jianxin Wang, Min Li:
A clustering algorithm for identifying hierarchical and overlapping protein complexes in large PPI networks. BIBM 2013: 1-2 - [c20]Min Li, Weijie Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan:
Identifying dynamic protein complexes based on gene expression profiles and PPI networks. BIBM 2013: 5 - [c19]Xiwei Tang, Jianxin Wang, Min Li, Yiming He, Yi Pan
A novel algorithm for mining protein complex from the weighted network. BIBM 2013: 6 - [c18]Gamage Upeksha Ganegoda, Jianxin Wang, Fang-Xiang Wu
Prioritization of candidate genes based on disease similarity and protein's proximity in PPI networks. BIBM 2013: 103-108 - [c17]Yu Lu, Min Li, Qi Li, Yi Pan
A new method for predicting essential proteins based on topology potential. BIBM 2013: 109-114 - 2012
- [j10]Min Li, Xuehong Wu
Towards the identification of protein complexes and functional modules by integrating PPI network and gene expression data. BMC Bioinform. 13: 109 (2012) - [j9]Min Li, Hanhui Zhang, Jianxin Wang, Yi Pan
A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data. BMC Syst. Biol. 6: 15 (2012) - [j8]Jianxin Wang, Min Li, Huan Wang, Yi Pan
Identification of Essential Proteins Based on Edge Clustering Coefficient. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1070-1080 (2012) - [c16]Jun Ren, Jianxin Wang, Min Li:
Identifying protein complexes based on local fitness method. BIBM 2012: 1-6 - [c15]Murtada Khalafallah Elbashir
Sparse kernel logistic regression for β-turns prediction. ISB 2012: 246-251 - 2011
- [j7]Xiwei Tang, Jianxin Wang, Binbin Liu, Min Li, Gang Chen, Yi Pan
A comparison of the functional modules identified from time course and static PPI network data. BMC Bioinform. 12: 339 (2011) - [j6]Jianxin Wang, Gang Chen, Min Li, Yi Pan
Integration of breast cancer gene signatures based on graph centrality. BMC Syst. Biol. 5(S-3): S10 (2011) - [j5]Wooyoung Kim, Min Li, Jianxin Wang, Yi Pan
Biological network motif detection and evaluation. BMC Syst. Biol. 5(S-3): S5 (2011) - [j4]Min Li, Jianxin Wang, Xiang Chen, Huan Wang, Yi Pan:
A local average connectivity-based method for identifying essential proteins from the network level. Comput. Biol. Chem. 35(3): 143-150 (2011) - [j3]Jianxin Wang, Min Li, Jianer Chen, Yi Pan:
A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 607-620 (2011) - [c14]Jianxin Wang, Xiaoqing Peng, Min Li, Yong Luo, Yi Pan
Active Protein Interaction Network and Its Application on Protein Complex Detection. BIBM 2011: 37-42 - [c13]Min Li, Xuehong Wu
A New Measurement for Evaluating Clusters in Protein Interaction Networks. BIBM 2011: 63-68 - [c12]Wooyoung Kim, Min Li, Jianxin Wang, Yi Pan
Essential Protein Discovery Based on Network Motif and Gene Ontology. BIBM 2011: 470-475 - [c11]Jun Ren, Jianxin Wang, Min Li, Huan Wang, Binbin Liu:
Prediction of Essential Proteins by Integration of PPI Network Topology and Protein Complexes Information. ISBRA 2011: 12-24 - [c10]Huan Wang, Min Li, Jianxin Wang, Yi Pan:
A New Method for Identifying Essential Proteins Based on Edge Clustering Coefficient. ISBRA 2011: 87-98 - 2010
- [j2]Min Li, Jianxin Wang, Jianer Chen, Zhao Cai, Gang Chen:
Identifying the overlapping complexes in protein interaction networks. Int. J. Data Min. Bioinform. 4(1): 91-108 (2010) - [c9]Min Li, Jianxin Wang, Huan Wang, Yi Pan:
Essential Proteins Discovery from Weighted Protein Interaction Networks. ISBRA 2010: 89-100 - [c8]Jun Ren, Jianxin Wang, Jianer Chen, Min Li, Gang Chen:
An Agglomerate Algorithm for Mining Overlapping and Hierarchical Functional Modules in Protein Interaction Networks. ISBRA 2010: 140-151
2000 – 2009
- 2009
- [c7]Gang Chen, Jianxin Wang, Min Li:
GO Semantic Similarity Based Analysis for Huaman Protein Interactions. IJCBS 2009: 207-210 - [c6]Jianxin Wang, Lijian Dai, Min Li:
GO Semantic Similarity-Based False Positive Reduction of Protein-Protein Interactions. IJCBS 2009: 211-214 - [c5]Min Li, Jianxin Wang, Jianer Chen, Yi Pan:
Hierarchical Organization of Functional Modules in Weighted Protein Interaction Networks Using Clustering Coefficient. ISBRA 2009: 75-86 - 2008
- [j1]Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Chen:
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures. BMC Bioinform. 9 (2008) - [c4]Min Li, Jianxin Wang, Jianer Chen:
A Fast Agglomerate Algorithm for Mining Functional Modules in Protein Interaction Networks. BMEI (1) 2008: 3-7 - [c3]Jianxin Wang, Zhao Cai, Min Li:
An Improved Method Based on Maximal Clique for Predicting Interactions in Protein Interaction Networks. BMEI (1) 2008: 62-66 - [c2]Min Li, Jianxin Wang, Jianer Chen, Bin Hu:
Greedily Mining l-dense Subgraphs in Protein Interaction Networks. ICYCS 2008: 1018-1023 - [c1]Min Li, Jianxin Wang, Jianer Chen:
A Graph-Theoretic Method for Mining Overlapping Functional Modules in Protein Interaction Networks. ISBRA 2008: 208-219
Coauthor Index
[j136] [j93] [j92] [j91] [j89] [j88] [j87] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j66] [j65] [j64] [j63] [j62] [j60] [j55] [j53] [j52] [j51] [j50] [j49] [j46] [j44] [j42] [j41] [c43] [c39] [j39] [j38] [j37] [j36] [j33] [j32] [c37] [c35] [j31] [j30] [j29] [j27] [j26] [c31] [c29] [c28] [j25] [j24] [j23] [j22] [j18] [j17] [c27] [j14] [c23] [j13] [j11] [c20] [c19] [c17] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c14] [c13] [c12] [c10] [c9] [c5]
[j148] [j124] [j110] [j108] [c62] [i4] [i3] [j102] [j101] [j98] [j96] [j93] [j92] [j91] [j90] [j89] [j88] [j86] [j85] [j84] [j81] [j80] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j66] [j65] [j64] [j63] [j60] [j59] [j58] [j57] [j55] [j54] [j53] [j52] [j51] [j50] [c47] [c45] [c44] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [c42] [c41] [c39] [c38] [j40] [j39] [j38] [j37] [j36] [j33] [j32] [c37] [c36] [c35] [c34] [c33] [j31] [j30] [j29] [j28] [j27] [j26] [c32] [c31] [c30] [c29] [c28] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [c27] [c26] [j16] [j15] [j14] [c25] [j13] [j12] [j11] [c21] [c20] [c19] [c18] [c17] [j10] [j9] [j8] [c16] [c15] [j7] [j6] [j5] [j4] [j3] [c14] [c13] [c12] [c11] [c10] [j2] [c9] [c8] [c7] [c6] [c5] [j1] [c4] [c3] [c2] [c1]
[j135] [j134] [j121] [j119] [j118] [j114] [j113] [j110] [j109] [j107] [j103] [c66] [j101] [j98] [j96] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [c61] [j81] [j79] [j77] [j76] [j75] [j74] [j73] [j72] [j70] [c54] [c53] [j68] [j66] [j65] [j64] [j63] [j62] [j61] [j59] [j57] [j55] [j54] [j53] [j52] [j51] [j50] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [j47] [j46] [j44] [j43] [j42] [j41] [c43] [c42] [c41] [c40] [c39] [j40] [j39] [j38] [j37] [j36] [j34] [j32] [c37] [c36] [c35] [c34] [j31] [j30] [j29] [j27] [c31] [c30] [c29] [j25] [j24] [j23] [j19] [j18] [j17] [c26] [j16] [j15] [j14] [c25] [c24] [c23] [c22] [c20] [c18] [c15]
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