Back to search

Article

Expanding discovery from cancer genomes by integrating protein network analyses with in vivo tumorigenesis assays

2017-06-19

Abstract excerpt

Approaches that integrate molecular network information and tumor genome data could complement gene-based statistical tests to identify likely new cancer genes, but are challenging to validate at scale and their predictive value remains unclear. We developed a robust statistic (NetSig) that integrates protein interaction networks and data from 4,742 tumor exomes and used it to accurately classify known driver gene...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e544419c-e8b0-54cf-8258-ffa711e318f6
DOI
10.1101/151977
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Expanding discovery from cancer genomes by integrating protein network analyses with in vivo tumorigenesis assaysDOI 10.1101/151977
Select a neighboring publication to make it the new centre.