A Bayesian framework for efficient and accurate variant prediction

There is a growing need to develop variant prediction tools capable of assessing a wide spectrum of evidence. We present a Bayesian framework that involves aggregating pathogenicity data across multiple in silico scores on a gene-by-gene basis and multiple evidence statistics in both quantitative an...

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Detalles Bibliográficos
Autores principales: Qian, Dajun, Li, Shuwei, Tian, Yuan, Clifford, Jacob W., Sarver, Brice A. J., Pesaran, Tina, Gau, Chia-Ling, Elliott, Aaron M., Lu, Hsiao-Mei, Black, Mary Helen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136750/
https://www.ncbi.nlm.nih.gov/pubmed/30212499
http://dx.doi.org/10.1371/journal.pone.0203553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6136750/
https://www.ncbi.nlm.nih.gov/pubmed/30212499
http://dx.doi.org/10.1371/journal.pone.0203553

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