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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...

詳細記述

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書誌詳細
出版年:Hum Mutat
主要な著者: Pejaver, Vikas, Mooney, Sean D., Radivojac, Predrag
フォーマット: Artigo
言語:Inglês
出版事項: 2017
主題:
オンライン・アクセス: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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