Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Biology, Computational biology, Cancer, microRNA, Gene, and Transcriptome.
IMOP-Cancer: identifying mutation order pairs impacting cancer phenotypes
Dissecting cellular states of infiltrating microenvironment cells in melanoma by integrating single-cell and bulk transcriptome analysis
Identifying the driver miRNAs with somatic copy number alterations driving dysregulated ceRNA networks in cancers
Functional regulations between genetic alteration-driven genes and drug target genes acting as prognostic biomarkers in breast cancer
Revealing the contribution of somatic gene mutations to shaping tumor immune microenvironment
The Heterogeneous Cellular States of Glioblastoma Stem Cells Revealed by Single-Cell Analysis
Systematic investigation of the prognostic impact of clonal status of somatic mutations across multiple cancer types
Single-Cell Transcriptomic Analysis Reveals a Tumor-Reactive T Cell Signature Associated With Clinical Outcome and Immunotherapy Response In Melanoma
Dynamic regulatory networks of T cell trajectory dissect transcriptional control of T cell state transition
Identifying Key Somatic Copy Number Alterations Driving Dysregulation of Cancer Hallmarks in Lower-Grade Glioma
Dissecting the Invasion-Associated Long Non-coding RNAs Using Single-Cell RNA-Seq Data of Glioblastoma
Prognostic impact of a lymphocyte activation-associated gene signature in GBM based on transcriptome analysis
Transcriptomic heterogeneity of driver gene mutations reveals novel mutual exclusivity and improves exploration of functional associations
Dissecting the Functional Mechanisms of Somatic Copy-Number Alterations Based on Dysregulated ceRNA Networks across Cancers
Prioritizing Gene Cascading Paths to Model Colorectal Cancer Through Engineered Organoids
Revealing the subtyping of non‐small cell lung cancer based on genomic evolutionary patterns by multi‐region sequencing
Prognostic Impact of a Lymphocyte Activation-Associated Gene Signature in GBM based on Transcriptome Analysis
Discovering Rare Genes Contributing to Cancer Stemness and Invasive Potential by GBM Single-Cell Transcriptional Analysis
CellMarker: a manually curated resource of cell markers in human and mouse
Oncogenic long noncoding RNA landscape in breast cancer
Identifying mutual exclusivity across cancer genomes: computational approaches to discover genetic interaction and reveal tumor vulnerability
LncNetP, a systematical lncRNA prioritization approach based on ceRNA and disease phenotype association assumptions
Systemically identifying and prioritizing risk lncRNAs through integration of pan-cancer phenotype associations
A comprehensive overview of lncRNA annotation resources
Cooperative genomic alteration network reveals molecular classification across 12 major cancer types
Identifying the crosstalk of dysfunctional pathways mediated by lncRNAs in breast cancer subtypes
Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data
Chromatin states modify network motifs contributing to cell-specific functions
The DNA Methylome and Transcriptome of Different Brain Regions in Schizophrenia and Bipolar Disorder
Prioritizing candidate disease miRNAs by integrating phenotype associations of multiple diseases with matched miRNA and mRNA expression profiles