ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs

Bing He; Yao Xiao; Haodong Liang; Qianhui Huang; Yuheng Du; Yijun Li; David Garmire; Duxin Sun; Lana X. Garmire

doi:10.1038/s41467-023-36637-3

Nature Communications (Feb 2023)

ASGARD is A Single-cell Guided Pipeline to Aid Repurposing of Drugs

Bing He,
Yao Xiao,
Haodong Liang,
Qianhui Huang,
Yuheng Du,
Yijun Li,
David Garmire,
Duxin Sun,
Lana X. Garmire

Affiliations

Bing He: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan
Yao Xiao: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan
Haodong Liang: Department of Statistics, College of Literature, Science, and the Arts, University of Michigan
Qianhui Huang: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan
Yuheng Du: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan
Yijun Li: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan
David Garmire: Department of Electrical Engineering and Computer Science, College of Engineering, University of Michigan
Duxin Sun: Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan
Lana X. Garmire: Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan

DOI: https://doi.org/10.1038/s41467-023-36637-3
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 14

Abstract

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The full potential of single-cell RNA-sequencing applied to precision medicine has yet to be reached. Here, we propose a drug recommendation system ASGARD, which predicts drugs by considering cell clusters to address the intercellular heterogeneity within each patient.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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