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Are machine learning based methods suited to address complex biological problems? Lessons from CAGI-5 challenges.
In-silico approaches are routinely adopted to predict the effects of genetic variants and their relation to diseases. The Critical Assessment of Genome Interpretation (CAGI) has established a common framework for the assessment of available predictors of variant effects on specific problems and our...
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| Publié dans: | Hum Mutat |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7281835/ https://ncbi.nlm.nih.gov/pubmed/31066146 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.23784 |
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