| Literature DB >> 26125594 |
Pau Creixell1, Jüri Reimand2, Syed Haider3, Guanming Wu3,4, Tatsuhiro Shibata5, Miguel Vazquez6, Ville Mustonen7, Abel Gonzalez-Perez8, John Pearson9, Chris Sander10, Benjamin J Raphael11, Debora S Marks12, B F Francis Ouellette3,13, Alfonso Valencia6, Gary D Bader2, Paul C Boutros3,14,15, Joshua M Stuart16,17, Rune Linding1,18, Nuria Lopez-Bigas8,19, Lincoln D Stein3,20.
Abstract
Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.Entities:
Mesh：
Year: 2015 PMID： 26125594 PMCID： PMC4717906 DOI： 10.1038/nmeth.3440
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547