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Background correction for DNA array data using a mixture model

There are various kinds of noise that affects DNA array data and it is a challenge to obtain high quality data from an experiment. Background correction is a first step for DNA array data processing; however, current methods for background correction have disadvantages. In this thesis, I propose a mixture model to facilitate the background correction for DNA array data generated by ImaGene. The corresponding software is also provided.

Identiferoai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/2550
Date12 April 2010
CreatorsChang, Shan
ContributorsLesperance, M. L.
Source SetsUniversity of Victoria
LanguageEnglish, English
Detected LanguageEnglish
TypeThesis
RightsAvailable to the World Wide Web

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