Xiangtao Li
0000-0002-8716-9823
17 papers found
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Distribution‐Agnostic Deep Learning Enables Accurate Single‐Cell Data Recovery and Transcriptional Regulation Interpretation
Automated exploitation of deep learning for cancer patient stratification across multiple types
Dynamic characterization and interpretation for protein-RNA interactions across diverse cellular conditions using HDRNet
Deciphering 3’ UTR mediated gene regulation using interpretable deep representation learning
Reliable Identification and Interpretation of Single‐Cell Molecular Heterogeneity and Transcriptional Regulation using Dynamic Ensemble Pruning
Hyperspectral Image Denoising via Weighted Multidirectional Low-Rank Tensor Recovery
scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering
Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification
scWMC: weighted matrix completion-based imputation of scRNA-seq data via prior subspace information
Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data
GMHCC: high-throughput analysis of biomolecular data using graph-based multiple hierarchical consensus clustering
Particle Swarm Optimized Gaussian Process Classifier for Treatment Discontinuation Prediction in Multicohort Metastatic Castration-Resistant Prostate Cancer Patients
EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network
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