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Min Li
Min Li
School of Computer Science and Engineering, Central South University
在 mail.csu.edu.cn 的电子邮件经过验证
标题
引用次数
年份
Knowledge Graph Convolutional Network with Heuristic Search for Drug Repositioning
X Du, X Sun, M Li
Journal of Chemical Information and Modeling, 2024
2024
A comprehensive review of protein-centric predictors for biomolecular interactions: from proteins to nucleic acids and beyond
P Jia, F Zhang, C Wu, M Li
Briefings in Bioinformatics 25 (3), bbae162, 2024
2024
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning
M Wang, C Lei, J Wang, Y Li, M Li
Briefings in Bioinformatics 25 (3), bbae154, 2024
2024
Pathway Activation Analysis for Pan-Cancer Personalized Characterization Based on Riemannian Manifold
X Li, J Hao, J Li, Z Zhao, X Shang, M Li
International Journal of Molecular Sciences 25 (8), 4411, 2024
2024
scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data
Y Chen, R Zheng, J Liu, M Li
Briefings in Bioinformatics 25 (2), bbae101, 2024
2024
A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches
W Wang, Y Shuai, Q Yang, F Zhang, M Zeng, M Li
Briefings in Bioinformatics 25 (2), bbae050, 2024
2024
MMCT-Loop: a mix model-based pipeline for calling targeted 3D chromatin loops
L Tang, J Liao, MC Hill, J Hu, Y Zhao, PT Ellinor, M Li
Nucleic Acids Research, gkae029, 2024
2024
CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification
J Liu, W Zeng, S Kan, M Li, R Zheng
Briefings in Bioinformatics 25 (1), bbad475, 2024
12024
scMAE: a masked autoencoder for single-cell RNA-seq clustering
Z Fang, R Zheng, M Li
Bioinformatics 40 (1), btae020, 2024
12024
stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics
Z Fang, T Liu, R Zheng, M Yin, M Li
Briefings in Bioinformatics 25 (1), bbad500, 2024
2024
Drug repositioning with adaptive graph convolutional networks
X Sun, X Jia, Z Lu, J Tang, M Li
Bioinformatics 40 (1), btad748, 2024
72024
TEPCAM: Prediction of T‐cell receptor–epitope binding specificity via interpretable deep learning
J Chen, B Zhao, S Lin, H Sun, X Mao, M Wang, Y Chu, L Hong, DQ Wei, ...
Protein Science 33 (1), e4841, 2024
22024
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms
Z Lu, C Lei, K Wang, L Qin, J Tang, M Li
arXiv preprint arXiv:2312.15252, 2023
12023
DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding
W Qiu, Y Wu, Y Li, K Niu, M Zeng, M Li
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
A flexible gene regulatory network reconstruction method based on autoencoder and graph attention network
R Zheng, Y Zeng, W Zeng, M Li
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
Protein function prediction using graph neural network with multi-type biological knowledge
Y Shuai, W Wang, Y Li, M Zeng, M Li
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
DyNRW: Time-Series Dynamical Networks for Identifying HCC-Related Genes
A Jin, J Xiang, M Li
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023
2023
LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism
M Zeng, Y Wu, Y Li, R Yin, C Lu, J Duan, M Li
Bioinformatics 39 (12), btad752, 2023
62023
SPIDE: A single cell potency inference method based on the local cell-specific network entropy
R Zheng, Z Xu, Y Zeng, E Wang, M Li
Methods 220, 90-97, 2023
2023
A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics T. Liu et al. Overview of Spatial Transcriptomics’ Spatial Clutering
T Liu, ZY Fang, Z Zhang, Y Yu, M Li, MZ Yin
Computational and Structural Biotechnology Journal, 2023
72023
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