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Open Access

Peer-reviewed

Research Article

Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference

Meghamala Sinha ,

Roles Formal analysis, Methodology, Validation, Writing – original draft

* E-mail: sinham@oregonstate.edu

Affiliation School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America
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Prasad Tadepalli,

Roles Supervision, Writing – review & editing

Affiliation School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America
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Stephen A. Ramsey

Roles Supervision, Writing – review & editing

Affiliations School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America, Department of Biomedical Sciences, Oregon State University, Corvallis, Oregon, United States of America

https://orcid.org/0000-0002-2168-5403

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Voting-based integration algorithm improves causal network learning from interventional and observational data: An application to cell signaling network inference

Meghamala Sinha,
Prasad Tadepalli,
Stephen A. Ramsey

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Published: February 8, 2021
https://doi.org/10.1371/journal.pone.0245776

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Cell signaling
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Protein interaction networks
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