Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research focused on Computational biology and Identification (biology), with related work in Disease, Gene, Human genetics. Notable publications include 'Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain', 'Cancer-related marketing centrality motifs acting as pivot units in the human signaling network and mediating cross-talk between biological pathways', and 'Identification of polycystic ovary syndrome potential drug targets based on pathobiological similarity in the protein-protein interaction network'.
Hypoxia-driven ferroptosis escape mediates lung injury induced by nickel-refining fumes via oxygen-sensing signaling PHD1/HIF-1α
DDCM: A Computational Strategy for Drug Repositioning Based on Support-Vector Regression Algorithm
Differentially localized protein identification for breast cancer based on deep learning in immunohistochemical images
DARG: An integrated knowledge base for analyzing addictive drug-related genes
Guiding Drug Repositioning for Cancers Based on Drug Similarity Networks
Identification of key genes and therapeutic drugs for cocaine addiction using integrated bioinformatics analysis
Deep neural network for discovering metabolism-related biomarkers for lung adenocarcinoma
Identification of cardiomyopathy-related core genes through human metabolic networks and expression data
Integrating Expression Data-Based Deep Neural Network Models with Biological Networks to Identify Regulatory Modules for Lung Adenocarcinoma
Leader gene identification for digestive system cancers based on human subcellular location and cancer-related characteristics in protein–protein interaction networks
Identification of genes associated with cancer prognosis in glioma: <i>In silico</i> data analyses of Chinese Glioma Genome Atlas (CGGA) and The Cancer Genome Atlas (TCGA)
A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy
Network‐based integration method for potential breast cancer gene identification
Identification of breast cancer risk modules via an integrated strategy
Identification of susceptible genes for complex chronic diseases based on disease risk functional SNPs and interaction networks
Identification of breast cancer prognostic modules based on weighted protein-protein interaction networks
Identification of polycystic ovary syndrome potential drug targets based on pathobiological similarity in the protein-protein interaction network
A Novel Prioritization Method in Identifying Recurrent Venous Thromboembolism-Related Genes
Identification of potential drug targets based on a computational biology algorithm for venous thromboembolism
Identification of potential COPD genes based on multi-omics data at the functional level
Discovery of neighborhood relationships and regulatory patterns between breast cancer and inflammatory genes based on human co-expressed regulatory network
Identifying progression related disease risk modules based on the human subcellular signaling networks
Identification of Modules Related to Programmed Cell Death in CHD Based on EHEN
Unraveling the characteristics of microRNA regulation in the developmental and aging process of the human brain
Cancer-related marketing centrality motifs acting as pivot units in the human signaling network and mediating cross-talk between biological pathways
Identifying colon cancer risk modules with better classification performance based on human signaling network