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Combining multiple tools outperforms individual methods in gene set enrichment analyses
Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie
doi: https://doi.org/10.1101/042580
Monther Alhamdoosh
1CSL Limited, Bio21 Institute, 30 Flemington Road, Parkville, Victoria 3010, Australia.
Milica Ng
1CSL Limited, Bio21 Institute, 30 Flemington Road, Parkville, Victoria 3010, Australia.
Nicholas J. Wilson
1CSL Limited, Bio21 Institute, 30 Flemington Road, Parkville, Victoria 3010, Australia.
Julie M. Sheridan
2ACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia
3Department of Medical Biology, The University of Melbourne, Parkville, Victoria 3010, Australia.
Huy Huynh
1CSL Limited, Bio21 Institute, 30 Flemington Road, Parkville, Victoria 3010, Australia.
Michael J. Wilson
1CSL Limited, Bio21 Institute, 30 Flemington Road, Parkville, Victoria 3010, Australia.
Matthew E. Ritchie
4Molecular Medicine Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3052, Australia.
5School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria 3010, Australia.
Article usage
Posted March 11, 2016.
Combining multiple tools outperforms individual methods in gene set enrichment analyses
Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie
bioRxiv 042580; doi: https://doi.org/10.1101/042580
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