In this thesis, the main objective is to perform statistical analysis of parameters yeast cell cycle regulated genes. We have known that there are 800 cell cycle regulated genes from Spellman et al. [9] (Spellman¡¦s 800) and 687 cell cycle regulated genes from MIPS database (MIPS¡¦s 687). We analyze yeast cell cycle regulated genes with statistical methods and models. The four main index statistics considered are as follow: 1. numbers of triscription factors bind to promoters, 2. coherence of genes with 104 known regulated genes (KRG)
in alpha-factor experiment, 3. coherence of genes with 104 KRG in cdc15 experiment, 4. coherence of genes with 104 KRG in cdc28 experiment. Although, binding numbers can be
fitted to geometric distribution in two subgroups of genes, we found that it is infeasible to classify the cell cycle regulated genes by only using HMM, and the coherence method also improve Spellman classification results if the standard is MIPS database or the 104 KRG. Finally, the cell cycle classification criterion in MIPS¡¦s 687 genes are found to include the information given by Spellman¡¦s 800.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0729104-091316 |
| Date | 29 July 2004 |
| Creators | Wu, Chung-chiang |
| Contributors | Mei-hui Guo, Shwu-rong Shieh, Chin-san Lee |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729104-091316 |
| Rights | unrestricted, Copyright information available at source archive |
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