Journal article
Filtering Genes for Cluster and Network Analysis
Abstract
BackgroundPrior to cluster analysis or genetic network analysis it is customary to filter, or remove genes considered to be irrelevant from the set of genes to be analyzed. Often genes whose variation across samples is less than an arbitrary threshold value are deleted. This can improve interpretability and reduce bias.ResultsThis paper introduces modular models for representing network structure in order to study the relative effects of …
Authors
Tritchler D; Parkhomenko E; Beyene J
Journal
BMC Bioinformatics, Vol. 10, No. 1,
Publisher
Springer Nature
Publication Date
December 2009
DOI
10.1186/1471-2105-10-193
ISSN
1471-2105