Guan Lab

Department of Computational Medicine & Bioinformatics

Medical images

Deep Learning Demo Gallary
Network integration

Networks at a high resolution

A lot of diseases, e.g. cancers, Alzheimers, are believed to be related to myths in alternative splicing that involves a lot of network biology. One goal of our research is to understand this complexity. We have developed a series of methods and resources for data integration for network modeling
Clinical outcome prediction

Clinical outcome prediction

Read our multiple award-winning algorithm GuanRank for survival predictions. http://guanlab.ccmb.med.umich.edu/yuanfang/Guan_rank.pdf
Cancer genomics

Cancer genomics

Why some cancer patients respond to chemo, while others don't? What biomarkers we can use to identify the most effective drug for each cancer patient? Our lab is interested in developing rigorous method for identifying predictive biomarkers for cancer cell survivability.