Imbalance-Aware Machine Learning for Predicting Rare and Common Disease-Associated Non-Coding Variants
Abstract Disease and trait-associated variants represent a tiny minority of all known genetic variation, and therefore there is necessarily an imbalance between the small set of available disease-associated and the much larger set of non-deleterious genomic variation, especially in non-coding regula...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2017
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/cb143f66e0ab410fb2077b350ce7d69e |
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