<p>Predicting drug targets by integration of drug sensitivity and gene signature data – the NETPHAR strategy</p>

Wenyu Wang; Shuyu Zheng; Alberto Pessia; Ziaurrehman  Tanoli; Mohieddin  Jafari; Jing Tang

doi:10.7490/f1000research.1118520.1

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Wang W, Zheng S, Pessia A et al. Predicting drug targets by integration of drug sensitivity and gene signature data – the NETPHAR strategy [version 1; not peer reviewed]. F1000Research 2021, 10(ISCB Comm J):208 (slides) (https://doi.org/10.7490/f1000research.1118520.1)

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Predicting drug targets by integration of drug sensitivity and gene signature data – the NETPHAR strategy

Wenyu Wang¹, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Jing Tang¹

Published 12 Mar 2021 (https://doi.org/10.7490/f1000research.1118520.1)

Author Affiliations

¹ Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland

Copyright © 2021 Wang W et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 12 Mar 2021

Predicting drug targets by integration of drug sensitivity and gene signature data – the NETPHAR strategy
[version 1; not peer reviewed]

Wenyu Wang¹, Shuyu Zheng, Alberto Pessia, Ziaurrehman Tanoli, Mohieddin Jafari, Jing Tang¹

Author Affiliations

¹ Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Finland

Presented at

RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges

Competing Interests

No competing interests were disclosed

Keywords

drug target prediction, drug repurposing, pharmacogenomics, DREAM challenge, pharmacological databse

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