Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer.

ABSTRACT: Heterogenous subtypes of breast cancer need to be analyzed separately. Pooling of datasets can provide reasonable sample sizes but dataset bias is an important concern. We assembled a combined dataset of 579 Affymetrix microarrays from triple negative breast cancer (TNBC) in Gene Expression Omnibus (GEO) series GSE31519. We developed a method for selecting comparable datasets and to control for the amount of dataset bias of individual probesets.

SUBMITTER: Karn T 

PROVIDER: S-EPMC4535974 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature