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Using predictive specificity to determine when gene set analysis is biologically meaningful

Sara Ballouz, Paul Pavlidis, Jesse Gillis
doi: https://doi.org/10.1101/080127
Sara Ballouz
1Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Woodbury, NY 11797, USA
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Paul Pavlidis
2Department of Psychiatry and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
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  • For correspondence: jgillis@cshl.edu
Jesse Gillis
1Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Woodbury, NY 11797, USA
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  • For correspondence: jgillis@cshl.edu
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Article Information

doi 
https://doi.org/10.1101/080127
History 
  • October 10, 2016.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Sara Ballouz1,
  2. Paul Pavlidis2,* and
  3. Jesse Gillis1,*
  1. 1Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Woodbury, NY 11797, USA
  2. 2Department of Psychiatry and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
  1. ↵*To whom correspondence should be addressed. JG: Tel: +1 (516) 422-4041; Fax: +1 (516) 422-4109; Email: jgillis{at}cshl.edu
  2. Correspondence may also be addressed to PP: Tel: +1 (604) 827-4157; Email: paul{at}chibi.ubc.ca
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Posted October 10, 2016.
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Using predictive specificity to determine when gene set analysis is biologically meaningful
Sara Ballouz, Paul Pavlidis, Jesse Gillis
bioRxiv 080127; doi: https://doi.org/10.1101/080127
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Using predictive specificity to determine when gene set analysis is biologically meaningful
Sara Ballouz, Paul Pavlidis, Jesse Gillis
bioRxiv 080127; doi: https://doi.org/10.1101/080127

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