attract: A method for identifying core pathways that define cellular phenotypes.
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.
Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, United States of America. jess@jimmy.harvard.edu
Jessica C
JC
Mar
Nicholas A
NA
Matigian
John
J
Quackenbush
Christine A
CA
Wells
D000704:Analysis of Variance; D000818:Animals; D002477:Cells / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D030541:Databases, Genetic; D053263:Gene Regulatory Networks / Q000235:genetics*; D006801:Humans; D058977:Molecular Sequence Annotation; D010641:Phenotype; D012270:Ribosomes / Q000378:metabolism; D012984:Software