Attract: A method for identifying core pathways that define cellular phenotypes

Jessica C. Mar, Nicholas A. Matigian, John Quackenbush, Christine A. Wells

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


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.

Original languageEnglish (US)
Article numbere25445
JournalPloS one
Issue number10
StatePublished - 2011
Externally publishedYes

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General


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