Classification of dendritic cell phenotypes from gene expression data.

ABSTRACT:

Background

The selection of relevant genes for sample classification is a common task in many gene expression studies. Although a number of tools have been developed to identify optimal gene expression signatures, they often generate gene lists that are too long to be exploited clinically. Consequently, researchers in the field try to identify the smallest set of genes that provide good sample classification. We investigated the genome-wide expression of the inflammatory phenotype in dendritic cells. Dendritic cells are a complex group of cells that play a critical role in vertebrate immunity. Therefore, the prediction of the inflammatory phenotype in these cells may help with the selection of immune-modulating compounds.

Results

A data mining protocol was applied to microar

SUBMITTER: Tuana G 

PROVIDER: S-EPMC3179938 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature