Identifying prognostic features by bottom-up approach and correlating to drug repositioning.

ABSTRACT:

Background

Traditionally top-down method was used to identify prognostic features in cancer research. That is to say, differentially expressed genes usually in cancer versus normal were identified to see if they possess survival prediction power. The problem is that prognostic features identified from one set of patient samples can rarely be transferred to other datasets. We apply bottom-up approach in this study: survival correlated or clinical stage correlated genes were selected first and prioritized by their network topology additionally, then a small set of features can be used as a prognostic signature.

Methods

Gene expression profiles of a cohort of 221 hepatocellular carcinoma (HCC) patients were used as a training set, 'bottom-up' approach was applied to discover ge

SUBMITTER: Li W 

PROVIDER: S-EPMC4349868 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature