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 | 1 | 2024 |
scMAE: a masked autoencoder for single-cell RNA-seq clustering Z Fang, R Zheng, M Li Bioinformatics 40 (1), btae020, 2024 | 1 | 2024 |
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 | 7 | 2024 |
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 | 2 | 2024 |
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 | 1 | 2023 |
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 | 6 | 2023 |
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 | 7 | 2023 |