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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....
Autores principales: | Cassese, Alberto, Guindani, Michele, Vannucci, Marina |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2014
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Materias: | |
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 |
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