Ontology highlight
ABSTRACT:
SUBMITTER: Qin H
PROVIDER: S-EPMC3607310 | biostudies-literature | 2008 Jul
REPOSITORIES: biostudies-literature
Qin Huaizhen H Feng Tao T Harding Scott A SA Tsai Chung-Jui CJ Zhang Shuanglin S
Bioinformatics (Oxford, England) 20080503 14
<h4>Motivation</h4>Microarray experiments typically analyze thousands to tens of thousands of genes from small numbers of biological replicates. The fact that genes are normally expressed in functionally relevant patterns suggests that gene-expression data can be stratified and clustered into relatively homogenous groups. Cluster-wise dimensionality reduction should make it feasible to improve screening power while minimizing information loss.<h4>Results</h4>We propose a powerful and computation ...[more]