Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks

摘要

BackgroundAdvances in large-scale tumor sequencing have led to an understanding that there are combinations of genomic and transcriptomic alterations specific to tumor types, shared across many patients. Unfortunately, computational identification of functionally meaningful and recurrent alteration patterns within gene/protein interaction networks has proven to be challenging.