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

• Published in: Cancer informatics Vol. 2014; no. Suppl. 2; pp. CIN.S13784 - 37
• Main Authors: Cassese, Alberto, Guindani, Michele, Vannucci, Marina
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publishing 01.01.2014; SAGE Publications; Sage Publications Ltd. (UK); Libertas Academica
• Subjects: Comparative analysis; Cytogenetics; DNA; Gene expression; Genomics; Markov processes; Monte Carlo method; Original Research; Squamous cell carcinoma; measurement error; Bayesian hierarchical models; copy number variants; variable selection; gene expression
• ISSN: 1176-9351; 1176-9351
• DOI: 10.4137/CIN.S13784

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....