Award details

Improved processing of microarray data with probabilistic models

ReferenceBBS/B/00778
Principal Investigator / Supervisor Professor Magnus Rattray
Co-Investigators /
Co-Supervisors
Institution The University of Manchester
DepartmentComputer Science
Funding typeResearch
Value (£) 8,347
StatusCompleted
TypeResearch Grant
Start date 06/09/2004
End date 05/09/2007
Duration36 months

Abstract

Microarray analysis allows the simultaneous evaluation of thousands of gene expression levels. In recent years both cDNA microarrays and oligonucleotide based arrays have become established technologies for genomic analysis across biology. Once the biological processes are complete the raw date generated from both the oligonucleotide arrays and the cDNA arrays consists of an image. This proposal concerns itself with the processing of the arrays once the image has been generated. We will use probabilistic models to extract information from the data, beginning with the image analysis, followed by normalisation and finally data mining. We will use Bayesian methods to integrate and propagate errors inherent in each stage of the probabilistic modelling process, eventually providing the biologist with levels of confidence for inferences made from the data. (Joint with BBS/B/0076X)

Summary

unavailable
Committee Closed Committee - Engineering & Biological Systems (EBS)
Research TopicsX – not assigned to a current Research Topic
Research PriorityX – Research Priority information not available
Research Initiative X - not in an Initiative
Funding SchemeX – not Funded via a specific Funding Scheme
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