Messina: a novel analysis tool to identify biologically relevant molecules in disease.

ABSTRACT:

Background

Morphologically similar cancers display heterogeneous patterns of molecular aberrations and follow substantially different clinical courses. This diversity has become the basis for the definition of molecular phenotypes, with significant implications for therapy. Microarray or proteomic expression profiling is conventionally employed to identify disease-associated genes, however, traditional approaches for the analysis of profiling experiments may miss molecular aberrations which define biologically relevant subtypes.

Methodology/principal findings

Here we present Messina, a method that can identify those genes that only sometimes show aberrant expression in cancer. We demonstrate with simulated data that Messina is highly sensitive and specific when used to ident

SUBMITTER: Pinese M 

PROVIDER: S-EPMC2671167 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature