Integration of clinical and gene expression data has a synergetic effect on predicting breast cancer outcome.

ABSTRACT: Breast cancer outcome can be predicted using models derived from gene expression data or clinical data. Only a few studies have created a single prediction model using both gene expression and clinical data. These studies often remain inconclusive regarding an obtained improvement in prediction performance. We rigorously compare three different integration strategies (early, intermediate, and late integration) as well as classifiers employing no integration (only one data type) using five classifiers of varying complexity. We perform our analysis on a set of 295 breast cancer samples, for which gene expression data and an extensive set of clinical parameters are available as well as four breast cancer datasets containing 521 samples that we used as independent validation.mOn the 295 sample

SUBMITTER: van Vliet MH 

PROVIDER: S-EPMC3394805 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature