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Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach.

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第一作者： Tomiko T,Oskotsky

第一单位： Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA.;Department of Pediatrics, UCSF, San Francisco, CA, USA.

作者： Tomiko T,Oskotsky ^[1] ; Arohee,Bhoja ^[2] ; Daniel,Bunis ^[1] ; Brian L,Le ^[1] ; Alice S,Tang ^[1] ; Idit,Kosti ^[1] ; Christine,Li ^[3] ; Sahar,Houshdaran ^[4] ; Sushmita,Sen ^[4] ; Júlia,Vallvé-Juanico ^[4] ; Wanxin,Wang ^[4] ; Erin,Arthurs ^[5] ; Arpita,Govil ^[5] ; Lauren,Mahoney ^[5] ; Lindsey,Lang ^[5] ; Brice,Gaudilliere ^[6] ; David K,Stevenson ^[7] ; Juan C,Irwin ^[4] ; Linda C,Giudice ^[4] ; Stacy L,McAllister ^[5] ; Marina,Sirota ^[1]

作者单位： Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA.;Department of Pediatrics, UCSF, San Francisco, CA, USA. ^[1] Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA.;Carnegie Mellon University, Pittsburgh, PA, USA. ^[2] Bakar Computational Health Sciences Institute, UCSF, San Francisco, CA, USA. ^[3] Department of Obstetrics, Gynecology and Reproductive Sciences, UCSF, San Francisco, CA, USA. ^[4] Department of Gynecology and Obstetrics, Emory University, Atlanta, GA, USA. ^[5] Department of Anesthesiology, Pain and Perioperative Medicine, Stanford University, Stanford, CA, USA. ^[6] Department of Pediatrics, Stanford University, Stanford, CA, USA. ^[7]

关键词 Drugs Transcriptomics

DOI 10.1016/j.isci.2024.109388

PMID 38510116

发布时间 2024-11-05

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