A semi-supervised approach for predicting cell-type specific functional consequences of non-coding variation using MPRAs

Predicting the functional consequences of non-coding genetic variants is a challenge. Here, He et al. present GenoNet, a semi-supervised method that combines information from experimentally confirmed regulatory variants with cell type- and tissue specific annotation for function prediction.

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Detalles Bibliográficos
Autores principales: Zihuai He, Linxi Liu, Kai Wang, Iuliana Ionita-Laza
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/684d88cf45c54d75a24c417383281dee
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