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Leveraging population-based clinical quantitative phenotyping for drug repositioning

View ORCID ProfileAdam S Brown, View ORCID ProfileDanielle Rasooly, View ORCID ProfileChirag J Patel
doi: https://doi.org/10.1101/130799
Adam S Brown
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, ,
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  • For correspondence: adambrown@fas.harvard.edu drasooly@g.harvard.edu
Danielle Rasooly
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, ,
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Chirag J Patel
2Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St. Boston, MA 02115. Tel: (617) 432 1195, Fax: (617) 432-0693,
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Article Information

doi 
https://doi.org/10.1101/130799
History 
  • April 25, 2017.
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 4.0 International license.

Author Information

  1. Adam S Brown1,
  2. Danielle Rasooly1 and
  3. Chirag J Patel, PhD2,*
  1. 1Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, adambrown{at}fas.harvard.edu, drasooly{at}g.harvard.edu
  2. 2Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St. Boston, MA 02115. Tel: (617) 432 1195, Fax: (617) 432-0693, Chirag_Patel{at}hms.harvard.edu
  1. ↵*The author to whom correspondence should be addressed.
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Posted April 25, 2017.
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Leveraging population-based clinical quantitative phenotyping for drug repositioning
Adam S Brown, Danielle Rasooly, Chirag J Patel
bioRxiv 130799; doi: https://doi.org/10.1101/130799
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Leveraging population-based clinical quantitative phenotyping for drug repositioning
Adam S Brown, Danielle Rasooly, Chirag J Patel
bioRxiv 130799; doi: https://doi.org/10.1101/130799

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