Gang Niu

TWIRLS automatically analyzes literature to suggest ACE2's role in coronavirus-induced host pathology via cytokine imbalance.

This paper develops a literature mining method to assess drug-gene associations and evaluate antineoplastic drug efficacy in specific cancer types using regression analysis and the GDSC database.

This paper identifies rare germline mutations associated with triple-negative breast cancer risk using a machine learning approach and shows improved risk prediction compared to existing methods.

The paper shows lipid rafts increase during mESC differentiation and support ectoderm lineage specification and pluripotency exit.