Participate in oncology product development. Take responsible for several oncology research projects: panel design for single nucleotide variants/small indels; tissue/plasma variant caller by deep learning approach.
Constructed a comparative analysis of NAFLD/NASH targets on transcriptomics and proteomics data. Developed an integrative analysis using network propagation algorithms and network visualization package for R.
Developed a rule-based literature mining system and website for protein phosphorylation. Designed a new mapping algorithm for iProLINK literature mining resource.
A statistical model to identify combinations of driver mutations that are mutual exclusivity, a pattern expected for mutations in cancer pathways.
A combinatorial approach for the problem of identifying independent and recurrent copy number aberrations, which are gains and losses of large genomic regions ranging in size from a few kilo-bases to whole chromosomes.
A statistical model to identify structural variations in a tumor more accurately by utilizing a new sequencing technology from 10X Genomics.
An algorithm to identify significant clusters of mutations in an interaction network.
MAGI: MAGI is a powerful web application, which displays interactive visualizations as well as crowd-sourced and text-mined mutation annotations in order to help prioritize likely driver mutations.
AML co-occurrence plot is a circle plot to display co-occurrence mutations between 200 Acute Myeloid Lukemia patients.