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Integrating gene expression and clinical data to identify drug repurposing candidates for hyperlipidemia and hypertension

Authors :
Patrick Wu
QiPing Feng
Vern Eric Kerchberger
Scott D. Nelson
Qingxia Chen
Bingshan Li
Todd L. Edwards
Nancy J. Cox
Elizabeth J. Phillips
C. Michael Stein
Dan M. Roden
Joshua C. Denny
Wei-Qi Wei
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Prioritizing drug repurposing candidates for downstream studies remains challenging. Here, the authors present a high-throughput approach to identify and validate drug repurposing candidates, integrating human gene expression, drug perturbation, and clinical data from publicly available resources.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723 and 05639042
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.21ab9d056390420ba81493fa1607bba7
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-27751-1