Area of research
Pulmonary and Respiratory Medicine · Computational Theory and Mathematics
Research interest
Research focused on Gene and Tumor microenvironment, with related work in Drug, Glioma, Interpretability. Notable publications include 'CHG: A Systematically Integrated Database of Cancer Hallmark Genes', 'Impact of Hashimoto’s thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis', and 'Crosstalk of different cell-death patterns predicts prognosis and drug sensitivity in glioma'.
Increased antiandrogen enzalutamide sensitivity via altering prostate cancer stem cell traits through modulating the androgen receptor-mediated CDR1/circCDR1-AS/miR-1290/BMP4 signaling
Impact of Hashimoto’s thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis
Crosstalk of different cell-death patterns predicts prognosis and drug sensitivity in glioma
Predicting drug synergy using a network propagation inspired machine learning framework
A deep learning drug screening framework for integrating local-global characteristics: A novel attempt for limited data
Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs
CHG: A Systematically Integrated Database of Cancer Hallmark Genes
Predicting hepatocellular carcinoma through cross-talk genes identified by risk pathways
Prediction on the risk population of idiosyncratic adverse reactions based on molecular docking with mutant proteins