https://doi.org/10.7490/f1000research.1118023.1
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Chen T, Lê Cao KA and Tyagi S. Multi-omics data integration for the discovery of COVID-19 drug targets [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):698 (poster) (https://doi.org/10.7490/f1000research.1118023.1)
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Multi-omics data integration for the discovery of COVID-19 drug targets

Tyrone Chen, Kim-Anh Lê Cao, Sonika Tyagi1
Author Affiliations
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Published 13 Jul 2020

Multi-omics data integration for the discovery of COVID-19 drug targets

[version 1; not peer reviewed]

Tyrone Chen, Kim-Anh Lê Cao, Sonika Tyagi1
Author Affiliations
1 School of Biological Sciences, Monash University, Australia, Australia
Presented at
28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020
Bioinformatics Open Source Conference (BOSC 2020)
Abstract
Competing Interests

No competing interests were disclosed

Keywords
SARS-Cov-2, COVID-19, Data integration, multi-omics, proteomics, translatomics, machine learning
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