Analysing functional genomics data using novel ensemble, consensus and data fusion techniques

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Analysing functional genomics data using novel ensemble, consensus and data fusion techniques

Motivation: A rapid technological development in the biosciences and in computer science in the last decade has enabled the analysis of high-dimensional biological datasets on standard desktop computers. However, in spite of these technical advances, common properties of the new high-throughput expe...

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Bibliographic Details
Main Author:	Glaab, Enrico
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2011
Subjects:	Gene protein expression microarray analysis pathway analysis omics machine learning network analysis topology clustering prediction feature selection
Online Access:	https://eprints.nottingham.ac.uk/12727/

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