Area of research
Molecular Biology · Cancer Research
Research interest
Research interests include Cancer-related molecular mechanisms research, Genomics and Chromatin Dynamics, RNA modifications and cancer, and Bioinformatics and Genomic Networks.
SEdb 3.0: a comprehensive super-enhancer database across multiple species.
ATACdb 2.0: a comprehensive chromatin accessibility database of human and mouse.
scVMAP: a comprehensive platform for integrating single-cell chromatin accessibility regions with causal variants.
CCCdb: a comprehensive manually curated database for cell-cell communication in human and mouse.
TSLDSeg: A texture-aware and semantic-enhanced latent diffusion model for medical image segmentation
sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human.
scImmOmics: a manually curated resource of single-cell multi-omics immune data.
SpatialRef: a reference of spatial omics with known spot annotation.
TransAgent: Dynamizing Transcriptional Regulation Analysis via Multi-omics-Aware AI Agent
scEnrich: An online webserver for cell-type identification of scATAC-seq data through comprehensive region enrichment analysis
KnockTF 2.0: a comprehensive gene expression profile database with knockdown/knockout of transcription (co-)factors in multiple species.
eRNAbase: a comprehensive database for decoding the regulatory eRNAs in human and mouse.
LncSEA 2.0: an updated platform for long non-coding RNA related sets and enrichment analysis.
scGRN: a comprehensive single-cell gene regulatory network platform of human and mouse.
scATAC-Ref: a reference of scATAC-seq with known cell labels in multiple species.
TFTG: A comprehensive database for human transcription factors and their targets
Cross-modal integration of bulk RNA-seq and single-cell RNA sequencing data to reveal T-cell exhaustion in colorectal cancer.
FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs
scBlood: A comprehensive single-cell accessible chromatin database of blood cells
FunlncModel: integrating multi-omic features from upstream and downstream regulatory networks into a machine learning framework to identify functional lncRNAs.
A long non-coding RNA LINC00094 regulates the transcriptional expression of lipid metabolism-related genes as a new member of core regulatory circuitry in esophageal squamous cell carcinoma
Universal DNA methylation age across mammalian tissues
SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse
SEdb 2.0: a comprehensive super-enhancer database of human and mouse.
SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse.
KnockTF 2.0: a comprehensive gene expression profile database with knockdown/knockout of transcription (co-)factors in multiple species
LncSEA 2.0: an updated platform for long non-coding RNA related sets and enrichment analysis
Landscape and significance of human super enhancer-driven core transcription regulatory circuitry
Landscape and significance of human super enhancer-driven core transcription regulatory circuitry
scATAC-Ref: a reference of scATAC-seq with known cell labels in multiple species