DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases. GWAS never directly link variants to regulatory mechanisms. Instead, the functional annotation of variants is typically inferred by post hoc analyses. A specific class of deep learning-based methods...

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Detalles Bibliográficos
Autores principales: Arloth, Janine, Eraslan, Gökcen, Andlauer, Till F. M., Martins, Jade, Iurato, Stella, Kühnel, Brigitte, Waldenberger, Melanie, Frank, Josef, Gold, Ralf, Hemmer, Bernhard, Luessi, Felix, Nischwitz, Sandra, Paul, Friedemann, Wiendl, Heinz, Gieger, Christian, Heilmann-Heimbach, Stefanie, Kacprowski, Tim, Laudes, Matthias, Meitinger, Thomas, Peters, Annette, Rawal, Rajesh, Strauch, Konstantin, Lucae, Susanne, Müller-Myhsok, Bertram, Rietschel, Marcella, Theis, Fabian J., Binder, Elisabeth B., Mueller, Nikola S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043350/
https://www.ncbi.nlm.nih.gov/pubmed/32012148
http://dx.doi.org/10.1371/journal.pcbi.1007616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7043350/
https://www.ncbi.nlm.nih.gov/pubmed/32012148
http://dx.doi.org/10.1371/journal.pcbi.1007616

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