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Physical Sciences and Mathematics Commons

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Statistics and Probability

2014

Microarray

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Contaminated Chi-Square Modeling And Its Application In Microarray Data Analysis, Feng Zhou Jan 2014

Contaminated Chi-Square Modeling And Its Application In Microarray Data Analysis, Feng Zhou

Theses and Dissertations--Statistics

Mixture modeling has numerous applications. One particular interest is microarray data analysis. My dissertation research is focused on the Contaminated Chi-Square (CCS) Modeling and its application in microarray. A moment-based method and two likelihood-based methods including Modified Likelihood Ratio Test (MLRT) and Expectation-Maximization (EM) Test are developed for testing the omnibus null hypothesis of no contamination of a central chi-square distribution by a non-central Chi-Square distribution. When the omnibus null hypothesis is rejected, we further developed the moment-based test and the EM test for testing an extra component to the Contaminated Chi-Square (CCS+EC) Model. The moment-based approach is easy and …