Background correction for DNA array data using a mixture model
Date
2010-04-12T16:31:08Z
Authors
Chang, Shan
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Abstract
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.
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Keywords
DNA, Array