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Thesis

Latent variable models for analysing multidimensional gene expression data

Abstract:

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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Division:
MPLS
Department:
Doctoral Training Centre - MPLS
Department:
University of Oxford
Role:
Author

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Role:
Supervisor
Engineering & Physical Sciences Research Council More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:ec62bc11-5c3f-467d-9ff3-f3c4eb29d140
Deposit date:
2016-07-18

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