Biclustering of gene expression data by correlation-based scatter search.

ABSTRACT:

Background

The analysis of data generated by microarray technology is very useful to understand how the genetic information becomes functional gene products. Biclustering algorithms can determine a group of genes which are co-expressed under a set of experimental conditions. Recently, new biclustering methods based on metaheuristics have been proposed. Most of them use the Mean Squared Residue as merit function but interesting and relevant patterns from a biological point of view such as shifting and scaling patterns may not be detected using this measure. However, it is important to discover this type of patterns since commonly the genes can present a similar behavior although their expression levels vary in different ranges or magnitudes.

Methods

Scatter Search is an evolu

SUBMITTER: Nepomuceno JA 

PROVIDER: S-EPMC3037342 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature