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Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder.

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第一作者： Arjun,Athreya

第一单位： Department of Electrical and Computer Engineering, Univ. of Illinois at Urbana-Champaign, IL, USA.

作者： Arjun,Athreya ^[1] ; Ravishankar,Iyer ^[1] ; Drew,Neavin ^[2] ; Liewei,Wang ^[2] ; Richard,Weinshilboum ^[2] ; Rima,Kaddurah-Daouk ^[3] ; John,Rush ^[3] ; Mark,Frye ^[4] ; William,Bobo ^[5]

作者单位： Department of Electrical and Computer Engineering, Univ. of Illinois at Urbana-Champaign, IL, USA. ^[1] Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, MN, USA. ^[2] Department of Psychiatry and Behavioral Sciences, Duke University, NC, USA. ^[3] Department of Psychiatry and Psychology, Mayo Clinic, MN, USA. ^[4] Department of Psychiatry and Psychology, Mayo Clinic, FL, USA. ^[5]

DOI 10.1109/MCI.2018.2840660

PMID 30467458

发布时间 2020-10-01

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IEEE computational intelligence magazine

2018年13卷3期

20-31页

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IEEE computational intelligence magazine

2018年13卷3期

20-31页

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Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder.

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Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder.

IEEE computational intelligence magazine

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