Journal article
Attract: A method for identifying core pathways that define cellular phenotypes
JC Mar, NA Matigian, J Quackenbush, CA Wells
Plos One | PUBLIC LIBRARY SCIENCE | Published : 2011
Open access
Abstract
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.
Grants
Awarded by U.S. National Library of Medicine
Funding Acknowledgements
JQ and JCM are supported by a grant from the US National Human Genome Research Institute (P50-HG004233). JQ is also supported, in part, by a Jackson Memorial Visiting Fellowship from Griffith University (www.griffith.edu.au) and a Harvard Club of Australia Foundation Fellowship (http://hcag.org.au/), and from the US National Library of Medicine (R01-LM010129). CAW is supported by the Australian Research Council (www.arc.gov.au) International linkage scheme (LX0882502), The Australian Stem Cell Centre and the National Health and Medical Research Council Australia (www.nhmrc.gov.au) CDA fellowship (481945). The funders had no role in study design, data collection and analysis, decision to publish or the preparation of the manuscript.