attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes

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Author(s)
C. Mar, Jessica
Matigian, Nicholas
Quackenbush, John
Wells, Christine
Year published
2011
Metadata
Show full item recordAbstract
attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression groups of highly correlated genes from the entire transcriptome dataset. attract can be applied to a wide range of biological systems and is freely available as a Bioconductor package and has been incorporated into the MeV software system.attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression groups of highly correlated genes from the entire transcriptome dataset. attract can be applied to a wide range of biological systems and is freely available as a Bioconductor package and has been incorporated into the MeV software system.
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Journal Title
PL o S One
Volume
6
Issue
10
Copyright Statement
© 2011, Mar et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License CCAL. (http://www.plos.org/journals/license.html)
Subject
Neurology and Neuromuscular Diseases