Min Li

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 151

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

BIBM

Bioinform.

Briefings Bioinform.

Publications

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)
Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H. Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun
Plug-and-Play latent feature editing for orientation-adaptive quantitative susceptibility mapping neural networks. Medical Image Anal. 94 (2024)
Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. Briefings Bioinform. 25 (3) (2024)
Yongheng Zhang, Qiguang Chen, Min Li, Wanxiang Che, Libo Qin
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought. CoRR (2024)
Yongheng Zhang, Peng Wang, Qiguang Chen, Jingxuan Zhou, Yongmei Wang, Min Li, Libo Qin
LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification. ICASSP (2024)
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 (2024)
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 (2024)
Lei Song, Huimin Zhu, Kaili Wang, Min Li
LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction. J. Chem. Inf. Model. 64 (8) (2024)
Xiang Du, Xinliang Sun, Min Li
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning. J. Chem. Inf. Model. 64 (12) (2024)
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 (2024)
Jianxin Wang, Min Li, Edwin Wang, Jing Tang, Bin Hu
The Impact of Computational Drug Discovery on Society. IEEE Trans. Comput. Soc. Syst. 10 (5) (2023)
Yanping Zeng, Yongxin He, Ruiqing Zheng, Min Li
Inferring single-cell gene regulatory network by non-redundant mutual information. Briefings Bioinform. 24 (5) (2023)
Rui Yin, Zihan Luo, Pei Zhuang, Min Zeng, Min Li, Zhuoyi Lin, Chee Keong Kwoh
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. J. Biomed. Informatics 142 (2023)
Yiming Li, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li
DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning. Bioinform. 39 (1) (2023)
Chuqi Lei, Zhangli Lu, Meng Wang, Min Li
StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features. Comput. Biol. Medicine 164 (2023)
Kunying Niu, Yifan Wu, Yaohang Li, Min Li
Retrieve and rerank for automated ICD coding via Contrastive Learning. J. Biomed. Informatics 143 (2023)
Xuhua Yan, Ruiqing Zheng, Jinmiao Chen, Min Li
scNCL: transferring labels from scRNA-seq to scATAC-seq data with neighborhood contrastive regularization. Bioinform. 39 (8) (2023)
Yongfan Ming, Wenkang Wang, Rui Yin, Min Zeng, Li Tang, Shizhe Tang, Min Li
A review of enzyme design in catalytic stability by artificial intelligence. Briefings Bioinform. 24 (3) (2023)
Ze-Ying Feng, Xue-Hong Wu, Jun-Long Ma, Min Li, Ge-Fei He, Dong-Sheng Cao, Guo-Ping Yang
DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications. Briefings Bioinform. 24 (4) (2023)
Min Li, Wenbo Shi, Fuhao Zhang, Min Zeng, Yaohang Li
A Deep Learning Framework for Predicting Protein Functions With Co-Occurrence of GO Terms. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms. CoRR (2023)
Siqi Chen, Xuhua Yan, Ruiqing Zheng, Min Li
Bubble: a fast single-cell RNA-seq imputation using an autoencoder constrained by bulk RNA-seq data. Briefings Bioinform. 24 (1) (2023)
Kaili Wang, Renyi Zhou, Yifan Wu, Min Li
RLBind: a deep learning method to predict RNA-ligand binding sites. Briefings Bioinform. 24 (1) (2023)
Xuhua Yan, Ruiqing Zheng, Fang-Xiang Wu, Min Li
CLAIRE: contrastive learning-based batch correction framework for better balance between batch mixing and preservation of cellular heterogeneity. Bioinform. 39 (3) (2023)
Min Zeng, Yifan Wu, Yiming Li, Rui Yin, Chengqian Lu, Junwen Duan, Min Li
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism. Bioinform. 39 (12) (2023)
Teng-Zhi Long, Shao-Hua Shi, Shao Liu, Ai-Ping Lu, Zhao-Qian Liu, Min Li, Tingjun Hou, Dong-Sheng Cao
Structural Analysis and Prediction of Hematotoxicity Using Deep Learning Approaches. J. Chem. Inf. Model. 63 (1) (2023)
Zhipeng Cai, Min Li, Pavel Skums, Yanjie Wei
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (6) (2023)
Min Li, Baoying Zhao, Rui Yin, Chengqian Lu, Fei Guo, Min Zeng
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings Bioinform. 24 (1) (2023)
Kaili Wang, Min Li
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) (2023)
Wenkang Wang, Xiangmao Meng, Ju Xiang, Yunyan Shuai, Hayat Dino Bedru, Min Li
CACO: A Core-Attachment Method With Cross-Species Functional Ortholog Information to Detect Human Protein Complexes. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Fang-Xiang Wu, Min Li, Lukasz A. Kurgan, Luis Rueda
Guest editorial: Deep neural networks for precision medicine. Neurocomputing 469 (2022)
Fuhao Zhang, Bi Zhao, Wenbo Shi, Min Li, Lukasz A. Kurgan
DeepDISOBind: accurate prediction of RNA-, DNA- and protein-binding intrinsically disordered residues with deep multi-task learning. Briefings Bioinform. 23 (1) (2022)
Yiming Li, Min Zeng, Yifan Wu, Yaohang Li, Min Li
Accurate Prediction of Human Essential Proteins Using Ensemble Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Xiangmao Meng, Ju Xiang, Ruiqing Zheng, Fang-Xiang Wu, Min Li
DPCMNE: Detecting Protein Complexes From Protein-Protein Interaction Networks Via Multi-Level Network Embedding. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
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)
Xiangmao Meng, Wenkai Li, Ju Xiang, Hayat Dino Bedru, Wenkang Wang, Fang-Xiang Wu, Min Li
Temporal-Spatial Analysis of the Essentiality of Hub Proteins in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Yifan Wu, Min Zeng, Ying Yu, Yaohang Li, Min Li
A Pseudo Label-Wise Attention Network for Automatic ICD Coding. IEEE J. Biomed. Health Informatics 26 (10) (2022)
Ju Xiang, Xiangmao Meng, Yichao Zhao, Fang-Xiang Wu, Min Li
HyMM: hybrid method for disease-gene prediction by integrating multiscale module structure. Briefings Bioinform. 23 (3) (2022)
Min Li, Zhangli Lu, Yifan Wu, Yaohang Li
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38 (7) (2022)
Xuehong Wu, Yifan Wu, Min Li
MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records. BIBM (2022)
Zhipeng Cai, Min Li, Pavel Skums
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Min Zeng, Yifan Wu, Chengqian Lu, Fuhao Zhang, Fang-Xiang Wu, Min Li
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding. Briefings Bioinform. 23 (1) (2022)
Xinliang Sun, Bei Wang, Jie Zhang, Min Li
Partner-Specific Drug Repositioning Approach Based on Graph Convolutional Network. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
A Dual Ranking Algorithm Based on the Multiplex Network for Heterogeneous Complex Disease Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (4) (2022)
Li Tang, Zhizhou Zhong, Yisheng Lin, Yifei Yang, Jun Wang, James F. Martin, Min Li
EPIXplorer: A web server for prediction, analysis and visualization of enhancer-promoter interactions. Nucleic Acids Res. 50 (W1) (2022)
Xuhua Yan, Ruiqing Zheng, Min Li
GLOBE: a contrastive learning-based framework for integrating single-cell transcriptome datasets. Briefings Bioinform. 23 (5) (2022)
Haonan Feng, Ruiqing Zheng, Jianxin Wang, Fang-Xiang Wu, Min Li
NIMCE: A Gene Regulatory Network Inference Approach Based on Multi Time Delays Causal Entropy. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. BIBM (2022)
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. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng, Min Li
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. BIBM (2022)
Huimin Luo, Min Li, Mengyun Yang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang
Biomedical data and computational models for drug repositioning: a comprehensive review. Briefings Bioinform. 22 (2) (2021)
Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (2021)
Min Zeng, Min Li, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
A Deep Learning Framework for Identifying Essential Proteins by Integrating Multiple Types of Biological Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Shehu Mohammed Yusuf, Fuhao Zhang, Min Zeng, Min Li
DeepPPF: A deep learning framework for predicting protein family. Neurocomputing 428 (2021)
Senbiao Fang, Ruoqian Zheng, Chuqi Lei, Jianxin Wang, Ruiqing Zheng, Min Li
Key residues influencing binding affinities of 2019-nCoV with ACE2 in different species. Briefings Bioinform. 22 (2) (2021)
Huimin Luo, Jianxin Wang, Cheng Yan, Min Li, Fang-Xiang Wu, Yi Pan
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Min Li, Yake Wang, Ruiqing Zheng, Xinghua Shi, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Kaili Wang, Renyi Zhou, Yaohang Li, Min Li
DeepDTAF: a deep learning method to predict protein-ligand binding affinity. Briefings Bioinform. 22 (5) (2021)
Zhen Zhang, Junwei Luo, Juan Shang, Min Li, Fang-Xiang Wu, Yi Pan, Jianxin Wang
Deletion Detection Method Using the Distribution of Insert Size and a Precise Alignment Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Chengqian Lu, Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Min Li, Jianxin Wang
Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations. IEEE J. Biomed. Health Informatics 25 (3) (2021)
Chengqian Lu, Min Zeng, Fang-Xiang Wu, Min Li, Jianxin Wang
Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks. Bioinform. 36 (24) (2021)
Xingyi Li, Ju Xiang, Jianxin Wang, Jinyan Li, Fang-Xiang Wu, Min Li
FUNMarker: Fusion Network-Based Method to Identify Prognostic and Heterogeneous Breast Cancer Biomarkers. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Zhenlan Liang, Min Li, Ruiqing Zheng, Yu Tian, Xuhua Yan, Jin Chen, Fang-Xiang Wu, Jianxin Wang
SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement. Genom. Proteom. Bioinform. 19 (2) (2021)
Ju Xiang, Jiashuai Zhang, Ruiqing Zheng, Xingyi Li, Min Li
NIDM: network impulsive dynamics on multiplex biological network for disease-gene prediction. Briefings Bioinform. 22 (5) (2021)
Nian Wang, Min Zeng, Yiming Li, Fang-Xiang Wu, Min Li
Essential Protein Prediction Based on node2vec and XGBoost. J. Comput. Biol. 28 (7) (2021)
Ruiqing Zheng, Min Li, Xiang Chen, Siyu Zhao, Fang-Xiang Wu, Yi Pan, Jianxin Wang
An Ensemble Method to Reconstruct Gene Regulatory Networks Based on Multivariate Adaptive Regression Splines. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Fuhao Zhang, Hong Song, Min Zeng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Min Li
A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Chengqian Lu, Mengyun Yang, Min Li, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
Predicting Human lncRNA-Disease Associations Based on Geometric Matrix Completion. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang
Improving de novo Assembly Based on Read Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Xingyi Li, Wenkai Li, Min Zeng, Ruiqing Zheng, Min Li
Network-based methods for predicting essential genes or proteins: a survey. Briefings Bioinform. 21 (2) (2020)
Xingyi Li, Ju Xiang, Fang-Xiang Wu, Min Li
A topological AUC-based biomarker ensemble method for the complex disease analysis. BIBM (2020)
Ruiqing Zheng, Zhenlan Liang, Xiangmao Meng, Yu Tian, Min Li
A robust single cell clustering method based on subspace learning and partial imputation. BIBM (2020)
Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang
Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Xinyu Hu, Li Tang, Linconghua Wang, Fang-Xiang Wu, Min Li
MADA: a web service for analysing DNA methylation array data. BMC Bioinform. (6) (2020)
Hui Jiang, Jianxin Wang, Min Li, Wei Lan, Fang-Xiang Wu, Yi Pan
miRTRS: A Recommendation Algorithm for Predicting miRNA Targets. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Gaoshi Li, Min Li, Jianxin Wang, Yaohang Li, Yi Pan
United Neighborhood Closeness Centrality and Orthology for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng, Min Li
NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. (13) (2020)
Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li
Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36 (4) (2020)
Hao Gao, Min Li, Fang-Xiang Wu
SPOC: Identification of Drug Targets in Biological Networks via Set Preference Output Control. ISBRA (2020)
Hui Jiang, Mengyun Yang, Xiang Chen, Min Li, Yaohang Li, Jianxin Wang
miRTMC: A miRNA Target Prediction Method Based on Matrix Completion Algorithm. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Binbin Wu, Min Li, Xingyu Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
MEC: Misassembly Error Correction in Contigs based on Distribution of Paired-End Reads and Statistics of GC-contents. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Xingyu Liao, Min Li, You Zou, Fang-Xiang Wu, Yi Pan, Jianxin Wang
An Efficient Trimming Algorithm based on Multi-Feature Fusion Scoring Model for NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
DeepFrag-k: a fragment-based deep learning approach for protein fold recognition. BMC Bioinform. (6) (2020)
Junwei Luo, Jianxin Wang, Juan Shang, Huimin Luo, Min Li, Fang-Xiang Wu, Yi Pan
GapReduce: A Gap Filling Algorithm Based on Partitioned Read Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (3) (2020)
Xiang Chen, Fang-Xiang Wu, Jin Chen, Min Li
DoRC: Discovery of rare cells from ultra-large scRNA-seq data. BIBM (2019)
Xingyi Li, Ju Xiang, Xinyu Hu, Fang-Xiang Wu, Min Li
DualRank: multiplex network-based dual ranking for heterogeneous complex disease analysis. BIBM (2019)
Min Li, Li Tang, Zhongxiang Liao, Junwei Luo, Fang-Xiang Wu, Yi Pan, Jianxin Wang
A Novel Scaffolding Algorithm Based on Contig Error Correction and Path Extension. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Min Li, Li Tang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
CSA: a web service for the complete process of ChIP-Seq analysis. BMC Bioinform. (15) (2019)
Min Li, Peng Ni, Xiaopei Chen, Jianxin Wang, Fang-Xiang Wu, Yi Pan
Construction of Refined Protein Interaction Network for Predicting Essential Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Ruiqing Zheng, Min Li, Xiang Chen, Fang-Xiang Wu, Yi Pan, Jianxin Wang
BiXGBoost: a scalable, flexible boosting-based method for reconstructing gene regulatory networks. Bioinform. 35 (11) (2019)
Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, Jianxin Wang
Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics 91 (2019)
Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
Tentative diagnosis prediction via deep understanding of patient narratives. BIBM (2019)
Fang-Xiang Wu, Min Li
Deep learning for biological/clinical data. Neurocomputing 324 (2019)
Wessam Elhefnawy, Min Li, Jianxin Wang, Yaohang Li
Decoding the Structural Keywords in Protein Structure Universe. J. Comput. Sci. Technol. 34 (1) (2019)
Min Li, Hao Gao, Jianxin Wang, Fang-Xiang Wu
Control principles for complex biological networks. Briefings Bioinform. 20 (6) (2019)
Min Li, Ruiqing Zheng, Yaohang Li, Fang-Xiang Wu, Jianxin Wang
MGT-SM: A Method for Constructing Cellular Signal Transduction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Min Zeng, Min Li, Zhihui Fei, Ying Yu, Yi Pan, Jianxin Wang
Automatic ICD-9 coding via deep transfer learning. Neurocomputing 324 (2019)
Ruiqing Zheng, Min Li, Zhenlan Liang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation. Bioinform. 35 (19) (2019)
Min Zeng, Min Li, Fang-Xiang Wu, Yaohang Li, Yi Pan
DeepEP: a deep learning framework for identifying essential proteins. BMC Bioinform. (16) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Min Li