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Open Access

Peer-reviewed

Research Article

Impact of structural prior knowledge in SNV prediction: Towards causal variant finding in rare disease

Vasundhara Dehiya,

Roles Data curation, Formal analysis, Investigation, Validation, Writing – original draft

Affiliations Department of Computer Science, State University of New York Korea, Incheon, Republic of Korea, Department of Computer Science, Stony Brook University, Stony Brook, NY, United States of America
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Jaya Thomas,

Roles Formal analysis, Investigation, Methodology

Affiliations Department of Computer Science, State University of New York Korea, Incheon, Republic of Korea, Department of Computer Science, Stony Brook University, Stony Brook, NY, United States of America
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Lee Sael

Roles Conceptualization, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

* E-mail: saellee@snu.ac.kr

Affiliation Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea

http://orcid.org/0000-0002-9066-5756

⨯

Impact of structural prior knowledge in SNV prediction: Towards causal variant finding in rare disease

Vasundhara Dehiya,
Jaya Thomas,
Lee Sael

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Published: September 28, 2018
https://doi.org/10.1371/journal.pone.0204101

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Machine learning algorithms
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