Xiaofeng Gong

Human blood gene signature as a marker for smoking exposure: computational approaches of the top ranked teams in the sbv IMPROVER Systems Toxicology challenge.

A. Tarca, R. Romero, Xiaofeng Gong, 2017, Computational toxicology.

The sbv IMPROVER Systems Toxicology Computational Challenge: Identification of Human and Species-Independent Blood Response Markers as Predictors of Smoking Exposure and Cessation Status.

Carine Poussin, Julia Hoeng, Stéphanie Boué, 2017, Computational toxicology.

A new method to measure the semantic similarity from query phenotypic abnormalities to diseases based on the human phenotype ontology

Jianping Jiang, Xiaofeng Gong, Zhongqu Duan, 2018, BMC Bioinformatics.