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Open Access

Peer-reviewed

Research Article

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

Andrew D. Rouillard,

Roles Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliation Computational Biology, GSK, Collegeville, PA, United States of America

http://orcid.org/0000-0002-3502-7161

⨯
Mark R. Hurle,

Roles Conceptualization, Data curation, Methodology, Writing – review & editing

Affiliation Computational Biology, GSK, Collegeville, PA, United States of America
⨯
Pankaj Agarwal

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

* E-mail: pankaj.agarwal@gsk.com

Affiliation Computational Biology, GSK, Collegeville, PA, United States of America
⨯

Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets

Andrew D. Rouillard,
Mark R. Hurle,
Pankaj Agarwal

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Published: May 21, 2018
https://doi.org/10.1371/journal.pcbi.1006142
See the preprint

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Phase III clinical investigation
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Gene expression
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Protein expression
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Gene targeting
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