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Blind prediction of deleterious amino acid variations with SNPs&GO
SNPs&GO is a machine learning method for predicting the association of single amino acid variations (SAVs) to disease, considering protein functional annotation. The method is a binary classifier that implements a Support Vector Machine algorithm to discriminate between disease-related and neutr...
שמור ב:
| הוצא לאור ב: | Hum Mutat |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2017
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5522651/ https://ncbi.nlm.nih.gov/pubmed/28102005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23179 |
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