Xiangtao Li

Affiliations: 
AI Jilin University, PR China 
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"Xiangtao Li"
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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
Chen N, Yu J, Liu Z, et al. (2024) Discovering DNA shape motifs with multiple DNA shape features: generalization, methods, and validation. Nucleic Acids Research
Su Y, Yu Z, Yang Y, et al. (2024) Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2307280
Liu Z, Wong HM, Chen X, et al. (2023) MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Computers in Biology and Medicine. 168: 107753
Sun P, Fan S, Li S, et al. (2023) Automated exploitation of deep learning for cancer patient stratification across multiple types. Bioinformatics (Oxford, England). 39
Zhu H, Yang Y, Wang Y, et al. (2023) Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet. Nature Communications. 14: 6824
Wang F, Alinejad-Rokny H, Lin J, et al. (2023) A Lightweight Framework For Chromatin Loop Detection at the Single-Cell Level. Advanced Science (Weinheim, Baden-Wurttemberg, Germany). e2303502
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