Comprehensive network analysis for all cancers

Dnr:

SNIC 2016/1-539

Type:

SNAC Medium

Principal Investigator:

Adil Mardinoglu

Affiliation:

Chalmers tekniska högskola

Start Date:

2016-12-19

End Date:

2018-01-01

Primary Classification:

10610: Bioinformatik och systembiologi (metodutveckling under 10203)

Webpage:

http://sysbio.se/people.html

Allocation

Abstract

Based on interactome and genome-scale metabolic models, we will investigate heterogeneity of cancers. Using large gene expression profiles, we will generate personalized models and sub-networks and find biomarkers based on our findings about their heterogeneity.