Title page for etd-0713103-183615


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URN etd-0713103-183615
Author Hong-Chang Wang
Author's Email Address No Public.
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Department Applied Mathematics
Year 2002
Semester 2
Degree Master
Type of Document
Language English
Title Constructing gene network of the 51 genes related to Yeast (Saccharomyces cerevisiae) DNA repair and DNA recombination from microarray data
Date of Defense 2003-06-06
Page Count 71
Keyword
  • saccharomyces cerevisia
  • Abstract Fifty one yeast genes related to DNA repair and DNA recombination from microarray expression data were analyzed to construct the gene network. In this study, we consider the microarray data sets from two independent synchronized methods: Alpha factor and cdc28.
    Hierarchical clustering algorithm and K-means are applied to cluster the 51 genes. The clustering pictures of the 51 genes, we show that Hierarchical clustering out performs the k-means.
    Multiple lag correlations are need as the criterion to construct the gene networks of these 51 genes, among which 16 genes are extrapolated. The gene networks of the 16 genes is useful to find out activator or repressor genes. In addition, the 16 genes are clustered into the same subcluster by Hierarchical clustering method.
    The results of our studies provide a useful economic and time saving experiment procedure.
    Advisory Committee
  • Shwu-Rong Shieh - chair
  • Chin-San Lee - co-chair
  • Mei-Hui Guo - advisor
  • Files
  • etd-0713103-183615.pdf
  • indicate access worldwide
    Date of Submission 2003-07-13

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