Representing high throughput expression profiles via perturbation barcodes reveals compound targets

Open Access

Peer-reviewed

Research Article

Tracey M. Filzen,

Affiliation Medical Writing, Merck Research Laboratories, Upper Gwynedd, Pennsylvania, United States of America
⨯
Peter S. Kutchukian,

Affiliation Informatics, Merck Research Laboratories, Boston, Massachusetts, United States of America
⨯
Jeffrey D. Hermes,

Affiliation Screening & Protein Sciences, Merck Research Laboratories, North Wales, Pennsylvania, United States of America

http://orcid.org/0000-0001-7360-8322

⨯
Jing Li,

Affiliation Screening and Compound Profiling, Merck Research Laboratories, Kenilworth, New Jersey, United States of America
⨯
Matthew Tudor

* E-mail: matthew_tudor@merck.com

Affiliation Informatics, Merck Research Laboratories, West Point, Pennsylvania, United States of America
⨯

Reader Comments (0)

Gene expression
Is the Subject Area "Gene expression" applicable to this article?

Thanks for your feedback.
Data visualization
Is the Subject Area "Data visualization" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.
Neural networks
Is the Subject Area "Neural networks" applicable to this article?

Thanks for your feedback.
MAPK signaling cascades
Is the Subject Area "MAPK signaling cascades" applicable to this article?

Thanks for your feedback.
Permutation
Is the Subject Area "Permutation" applicable to this article?

Thanks for your feedback.
Drug discovery
Is the Subject Area "Drug discovery" applicable to this article?

Thanks for your feedback.
Phenotypes
Is the Subject Area "Phenotypes" applicable to this article?

Thanks for your feedback.