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Dataset Information

Combinatorial Detection of Conserved Alteration Patterns for Identifying Cancer Subnetworks.


ABSTRACT:

Background

Advances 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.

Findings

We introduce a novel combinatorial method, cd-CAP (combinatorial detection of conserved alteration patterns), for simultaneous detection of connected subnetworks of an interaction network where genes exhibit conserved alteration patterns across tumor samples. Our method differentiates distinct alteration types associated with each gene (rather than relying on binary information of a gene bein

SUBMITTER: Hodzic E 

PROVIDER: S-EPMC6458499 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature