Bayesian integrative analysis of epigenomic and transcriptomic data identifies Alzheimer's disease candidate genes and networks

Biomedical research studies have generated large multi-omic datasets to study complex diseases like Alzheimer’s disease (AD). An important aim of these studies is the identification of candidate genes that demonstrate congruent disease-related alterations across the different data types measured by...

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Detalles Bibliográficos
Autores principales: Klein, Hans-Ulrich, Schäfer, Martin, Bennett, David A., Schwender, Holger, De Jager, Philip L.
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/PMC7138305/
https://www.ncbi.nlm.nih.gov/pubmed/32255787
http://dx.doi.org/10.1371/journal.pcbi.1007771

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7138305/
https://www.ncbi.nlm.nih.gov/pubmed/32255787
http://dx.doi.org/10.1371/journal.pcbi.1007771

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