Network based consensus gene signatures for biomarker discovery in breast cancer.

ABSTRACT: Diagnostic and prognostic biomarkers for cancer based on gene expression profiles are viewed as a major step towards a better personalized medicine. Many studies using various computational approaches have been published in this direction during the last decade. However, when comparing different gene signatures for related clinical questions often only a small overlap is observed. This can have various reasons, such as technical differences of platforms, differences in biological samples or their treatment in lab, or statistical reasons because of the high dimensionality of the data combined with small sample size, leading to unstable selection of genes. In conclusion retrieved gene signatures are often hard to interpret from a biological point of view. We here demonstrate that it is possi

SUBMITTER: Frohlich H 

PROVIDER: S-EPMC3201953 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature