Generalising better: Applying deep learning to integrate deleteriousness prediction scores for whole-exome SNV studies

Many automatic classifiers were introduced to aid inference of phenotypical effects of uncategorised nsSNVs (nonsynonymous Single Nucleotide Variations) in theoretical and medical applications. Lately, several meta-estimators have been proposed that combine different predictors, such as PolyPhen and...

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Detalles Bibliográficos
Autores principales: Korvigo, Ilia, Afanasyev, Andrey, Romashchenko, Nikolay, Skoblov, Mikhail
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/PMC5851551/
https://www.ncbi.nlm.nih.gov/pubmed/29538399
http://dx.doi.org/10.1371/journal.pone.0192829

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851551/
https://www.ncbi.nlm.nih.gov/pubmed/29538399
http://dx.doi.org/10.1371/journal.pone.0192829

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