Gene selection algorithms for microarray data based on least squares support vector machine.

ABSTRACT:

Background

In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary to conduct the discriminant analysis with all the genes. Hence, gene selection is usually performed to select important genes.

Results

A gene selection method searches for an optimal or near optimal subset of genes with respect to a given evaluation criterion. In this paper, we propose a new evaluation criterion, named the leave-one-out calculation (LOOC, A list of abbreviations appears just above the list of references) measure. A gene selection method, named leave-one-out calculation sequential forward selection (LOOCSFS) algorithm, is then presented by combining the LOOC measure with the sequentia

SUBMITTER: Tang EK 

PROVIDER: S-EPMC1409801 | biostudies-literature | 2006 Feb

REPOSITORIES: biostudies-literature