Systems biology, network biology, comparative genomics/proteomics, gene regulation, machine learning
Current Research Interest
Proteome-scale 3D structural modeling of protein-protein and protein-DNA binding interfaces through machine learning; functional and comparative genomics/proteomics methods to understand biological networks and their changes across human populations and in disease; dissecting the fundamental architecture of enhancers and promoters and investigating how mutations in these elements change gene regulation
Chen, Siwei, Robert Fragoza, Lambertus Klei, Yuan Liu, Jiebiao Wang, Kathyrn Roeder, Bernie Devlin, and Haiyuan Yu. “An Interactome Perturbation Framework Prioritizes Damaging Missense Mutations for Developmental Disorders.” Nature Genetics 50, no. 7 (2018): 1032-1040.
Vo, Tommy, Jishnu Das, Michael J. Meyer, Nicolas A. Cordero, Nurten Akturk, Xiaomu Wei, Benjamin J. Fair, Andrew G. Degatano, Robert Fragoza, Lisa G. Liu, Akihisa Matsuyama, Michelle Trickey, Sachi Horibata, Andrew Grimson, Hiroyuki Yamano, Minoru Yoshida, Frederick P. Roth, Jeffrey A. Pleiss, Yu Xia, and Haiyuan Yu. “A Proteome-wide Fission Yeast Interactome Reveals Network Evolution Principles from Yeasts to Human.” Cell 164, no. 1 (2016): 310-323.