An algorithm to discover gene signatures with predictive potential.

ABSTRACT:

Background

The advent of global gene expression profiling has generated unprecedented insight into our molecular understanding of cancer, including breast cancer. For example, human breast cancer patients display significant diversity in terms of their survival, recurrence, metastasis as well as response to treatment. These patient outcomes can be predicted by the transcriptional programs of their individual breast tumors. Predictive gene signatures allow us to correctly classify human breast tumors into various risk groups as well as to more accurately target therapy to ensure more durable cancer treatment.

Results

Here we present a novel algorithm to generate gene signatures with predictive potential. The method first classifies the expression intensity for each gene as de

SUBMITTER: Hallett RM 

PROVIDER: S-EPMC2941490 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature