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  • 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
    Griffith University Author(s)
    Matigian, Nicholas
    Wells, Christine
    Quackenbush, John
    Year published
    2011
    Metadata
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    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.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
    DOI
    https://doi.org/10.1371/journal.pone.0025445
    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
    Publication URI
    http://hdl.handle.net/10072/43435
    Collection
    • Journal articles

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