Xiangtao Li
Affiliations: | AI | Jilin University, PR China |
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Collaborators
Sign in to add collaborator| Ka-Chun Wong | collaborator | 2016- | City University of Hong Kong |
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Publications
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| Wang F, Lin J, Alinejad-Rokny H, et al. (2025) Unveiling Multi-Scale Architectural Features in Single-Cell Hi-C Data Using scCAFE. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2416432 |
| Zhang R, Xie W, Lin Q, et al. (2025) When East Meets West: Cross-domain Drug Interaction Annotations with Large Language Models and Bidirectional Neural Networks. Ieee Journal of Biomedical and Health Informatics |
| Hao G, Fan Y, Yu Z, et al. (2025) Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE. Nature Communications. 16: 1691 |
| Wang Y, Zhu H, Wang Y, et al. (2025) EnrichRBP: an automated and interpretable computational platform for predicting and analyzing RNA-binding protein events. Bioinformatics (Oxford, England) |
| Yu J, Chen N, Cao L, et al. (2024) Synergizing Anti-Cancer Drug Combinations With Dual-View Hypergraph Representation Fusion. Ieee Journal of Biomedical and Health Informatics |
| Yu Z, Yang Y, Chen X, et al. (2024) Accurate Spatial Heterogeneity Dissection and Gene Regulation Interpretation for Spatial Transcriptomics using Dual Graph Contrastive Learning. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2410081 |
| Zhang Y, Yu Z, Wong KC, et al. (2024) Unraveling Spatial Domain Characterization in Spatially Resolved Transcriptomics with Robust Graph Contrastive Clustering. Bioinformatics (Oxford, England). 40 |
| Chen N, Yu J, Zhe L, et al. (2024) TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation. Briefings in Bioinformatics. 25 |
| Zhang B, Hou Z, Yang Y, et al. (2024) SOFB is a comprehensive ensemble deep learning approach for elucidating and characterizing protein-nucleic-acid-binding residues. Communications Biology. 7: 679 |
| Wang X, Wang Y, Ma Z, et al. (2024) Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner. Ieee/Acm Transactions On Computational Biology and Bioinformatics |