A Bayesian Integrative Model for Genetical Genomics with Spatially Informed Variable Selection

We consider a Bayesian hierarchical model for the integration of gene expression levels with comparative genomic hybridization (CGH) array measurements collected on the same subjects. The approach defines a measurement error model that relates the gene expression levels to latent copy number states....

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Detalles Bibliográficos
Autores principales: Cassese, Alberto, Guindani, Michele, Vannucci, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179607/
https://www.ncbi.nlm.nih.gov/pubmed/25288877
http://dx.doi.org/10.4137/CIN.S13784

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179607/
https://www.ncbi.nlm.nih.gov/pubmed/25288877
http://dx.doi.org/10.4137/CIN.S13784

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