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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| 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 |