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A Bayesian framework for efficient and accurate variant prediction
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Dajun Qian,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliation Ambry Genetics, Aliso Viejo, California, United States of America
⨯ -
Shuwei Li,
Roles Data curation, Investigation, Methodology, Writing – review & editing
Affiliation Ambry Genetics, Aliso Viejo, California, United States of America
⨯ - Yuan Tian,
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Jacob W. Clifford,
Roles Data curation, Formal analysis, Investigation, Writing – review & editing
Affiliation Ambry Genetics, Aliso Viejo, California, United States of America
⨯ - Brice A. J. Sarver,
- Tina Pesaran,
- Chia-Ling Gau,
- Aaron M. Elliott,
- Hsiao-Mei Lu,
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Mary Helen Black
Roles Methodology, Supervision, Writing – original draft, Writing – review & editing
* E-mail: mblack@ambrygen.com
Affiliation Ambry Genetics, Aliso Viejo, California, United States of America
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http://orcid.org/0000-0002-5527-4856
A Bayesian framework for efficient and accurate variant prediction
- Dajun Qian,
- Shuwei Li,
- Yuan Tian,
- Jacob W. Clifford,
- Brice A. J. Sarver,
- Tina Pesaran,
- Chia-Ling Gau,
- Aaron M. Elliott,
- Hsiao-Mei Lu,
- Mary Helen Black
- Published: September 13, 2018
- https://doi.org/10.1371/journal.pone.0203553