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Missense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges
The steady advances in machine learning and accumulation of biomedical data have contributed to the development of numerous computational models that assess the impact of missense variants. Different methods, however, operationalize impact differently. Two common tasks in this context are the predic...
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| Foilsithe in: | Hum Mutat |
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| Main Authors: | , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
2017
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5561458/ https://ncbi.nlm.nih.gov/pubmed/28508593 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23258 |
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