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.
CITATION STYLE
Mar, J. C., Matigian, N. A., Quackenbush, J., & Wells, C. A. (2011). Attract: A method for identifying core pathways that define cellular phenotypes. PLoS ONE, 6(10). https://doi.org/10.1371/journal.pone.0025445
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