Biomolecular events in cancer revealed by attractor metagenes.

ABSTRACT: Mining gene expression profiles has proven valuable for identifying signatures serving as surrogates of cancer phenotypes. However, the similarities of such signatures across different cancer types have not been strong enough to conclude that they represent a universal biological mechanism shared among multiple cancer types. Here we present a computational method for generating signatures using an iterative process that converges to one of several precise attractors defining signatures representing biomolecular events, such as cell transdifferentiation or the presence of an amplicon. By analyzing rich gene expression datasets from different cancer types, we identified several such biomolecular events, some of which are universally present in all tested cancer types in nearly identical form

SUBMITTER: Cheng WY 

PROVIDER: S-EPMC3581797 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature