XGSA: A statistical method for cross-species gene set analysis.

Journal: Bioinformatics (Oxford, England)
PMID: 27587682

Abstract

MOTIVATION: Gene set analysis is a powerful tool for determining whether an experimentally derived set of genes is statistically significantly enriched for genes in other pre-defined gene sets, such as known pathways, gene ontology terms, or other experimentally derived gene sets. Current gene set analysis methods do not facilitate comparing gene sets across different organisms as they do not explicitly deal with homology mapping between species. There lacks a systematic investigation about the effect of complex gene homology on cross-species gene set analysis.

Authors

  • Djordje Djordjevic
    Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia, St Vincent's Clinical School, University of New South Wales Australia, Darlinghurst, NSW 2010, Australia.
  • Kenro Kusumi
    School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
  • Joshua W K Ho
    Victor Chang Cardiac Research Institute, Darlinghurst, NSW 2010, Australia, St Vincent's Clinical School, University of New South Wales Australia, Darlinghurst, NSW 2010, Australia.

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