SigMat: a classification scheme for gene signature matching.

ABSTRACT:

Motivation

Several large-scale efforts have been made to collect gene expression signatures from a variety of biological conditions, such as response of cell lines to treatment with drugs, or tumor samples with different characteristics. These gene signature collections are utilized through bioinformatics tools for 'signature matching', whereby a researcher studying an expression profile can identify previously cataloged biological conditions most related to their profile. Signature matching tools typically retrieve from the collection the signature that has highest similarity to the user-provided profile. Alternatively, classification models may be applied where each biological condition in the signature collection is a class label; however, such models are trained on the collecti

SUBMITTER: Xiao J 

PROVIDER: S-EPMC6022536 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature