Multi-scale inference of genetic trait architecture using biologically annotated neural networks

In this article, we present Biologically Annotated Neural Networks (BANNs), a nonlinear probabilistic framework for association mapping in genome-wide association (GWA) studies. BANNs are feedforward models with partially connected architectures that are based on biological annotations. This setup y...

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Detalles Bibliográficos
Autores principales: Demetci, Pinar, Cheng, Wei, Darnell, Gregory, Zhou, Xiang, Ramachandran, Sohini, Crawford, Lorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407593/
https://www.ncbi.nlm.nih.gov/pubmed/34411094
http://dx.doi.org/10.1371/journal.pgen.1009754

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407593/
https://www.ncbi.nlm.nih.gov/pubmed/34411094
http://dx.doi.org/10.1371/journal.pgen.1009754

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