Latent variable models for analysing multidimensional gene expression data

Thesis

Multi-tissue gene expression studies give rise to 3D arrays of data. These experiments make it possible to study the tissue-specific nature of gene regulation and also the relationship between genotypes and higher level traits such as disease status. Analysing these multidimensional data sets is a statistical challenge, as they contain high noise levels and missing data. In this thesis I introduce a new approach for analysing multidimensional gene expression data sets called SPIDER (SParse...

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Authors: Hore, V

• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford