Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication-Reference-Cited by-同舟云学术

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication

Published:2019-06-29 Issue:4 Volume:106 Page:855-865
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Athreya Arjun P.¹²,Neavin Drew²,Carrillo‐Roa Tania³,Skime Michelle⁴,Biernacka Joanna⁴,Frye Mark A.⁴,Rush A. John⁵⁶⁷,Wang Liewei²,Binder Elisabeth B.³⁸,Iyer Ravishankar K.¹,Weinshilboum Richard M.²,Bobo William V.⁹

Affiliation:

1. Department of Electrical & Computer EngineeringUniversity of Illinois at Urbana‐Champaign Urbana Illinois USA

2. Department of Molecular Pharmacology and Experimental TherapeuticsMayo Clinic Rochester Minnesota USA

3. Department of Translational Research in PsychiatryMax Planck Institute of Psychiatry Munich Germany

4. Department of Psychiatry & PsychologyMayo Clinic Rochester Minnesota USA

5. Department of Psychiatry & Behavioral SciencesDepartment of MedicineDuke Institute of Brain SciencesDuke University School of Medicine Durham North Carolina USA

6. Texas Tech University Health Sciences Center Permian Basin Texas USA

7. Duke‐National University of Singapore Medical School Singapore Singapore

8. Department of Psychiatry & Behavioral SciencesEmory University School of Medicine Atlanta Georgia USA

9. Department of Psychiatry & PsychologyMayo Clinic Jacksonville Florida USA

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.1482

Reference60 articles.

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