Title page for etd-0729111-155816


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URN etd-0729111-155816
Author Yi-An Jan
Author's Email Address chanshiouan@gmail.com
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Department Applied Mathematics
Year 2010
Semester 2
Degree Master
Type of Document
Language English
Title Model-Based Clustering for Gene Expression and Change Patterns
Date of Defense 2011-06-23
Page Count 45
Keyword
  • Gene expression
  • Model-based clustering
  • Wavelet coefficients
  • Fourier coefficients
  • Yeast cell cycle data
  • Abstract It is important to study gene expression and change patterns over a time period because biologically related gene groups are likely to share similar patterns. In this study, similar gene expression and change patterns are found via model-based clustering method. Fourier and wavelet coefficients of gene expression data are used as the clustering variables. A two-stage model-based method is proposed for stepwise clustering of expression and change patterns. Simulation study is performed to investigate the effectiveness of the proposed methodology. Yeast cell cycle data are analyzed.
    Advisory Committee
  • Mong-Na Lo Huang - chair
  • Fu-Chuen Chang - co-chair
  • May-Ru Chen - co-chair
  • Shih-Feng Huang - co-chair
  • Mei-Hui Guo - advisor
  • Files
  • etd-0729111-155816.pdf
  • Indicate in-campus at 1 year and off-campus access at 99 year.
    Date of Submission 2011-07-29

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