Bayesian Functional Annotation Integration
Bayesian Functional Annotation Integration is a computational framework that integrates diverse genomic data sources into functional annotations of genetic elements through probabilistic modeling based on Bayes' theorem, distinguishing itself by quantifying uncertainty and prior knowledge in the annotation process.
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640
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11
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2017–2026
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Olga G. Troyanskaya, Kara Dolinski, Art B. Owen et al. · Proceedings of the National Academy of Sciences · 2003 · 535 citations · Full text
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Stanford University
Stanford, United States
1 h-index
5 publications
2.7K citations
Yale University
New Haven, United States
1 h-index
1 publications
14 citations
UConn Health
Farmington, United States
1 h-index
1 publications
14 citations
Princeton University
Princeton, United States
1 h-index
1 publications
535 citations
University of Michigan
Ann Arbor, United States
1 h-index
4 publications
256 citations
University of Nebraska Medical Center
Omaha, United States
1 h-index
1 publications
14 citations
Abbott (United Kingdom)
Maidenhead, United Kingdom
1 h-index
1 publications
14 citations

Leiden University Medical Center
Leiden, The Netherlands
1 h-index
5 publications
135 citations
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1 publications · 27 citations
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AJHG · 1 publications · 64 citations
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PNAS · 1 publications · 535 citations
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SIB · 1 publications · 14 citations
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