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| 研究生： |
許惠婷 Hsu, Hui-Ting |
|---|---|
| 論文名稱： |
M-A 圖意涵及 Normalization 之商榷 M-A plot and Normalization: Another Viewpoint |
| 指導教授： |
詹世煌
Chan, Shin-Huang |
| 學位類別： |
碩士 Master |
| 系所名稱： |
管理學院 - 統計學系 Department of Statistics |
| 論文出版年： | 2004 |
| 畢業學年度： | 92 |
| 語文別： | 英文 |
| 論文頁數： | 39 |
| 中文關鍵詞： | normalization 、lowess 、微陣列 |
| 外文關鍵詞： | microarray, lowess, normalization |
| 相關次數： | 點閱：78 下載：1 |
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Micorarray是一門新興且具有前景的生物科技，它可以同時監督數千個基因的表現。在實驗的過程中，有許多系統性的變異會影響所測得的基因表現值；而袪除這些變異的過程就叫做normalization。Dudoit et al. (2002)建議使用lowess來進行normalization。在本文，我們指出Dudoit et al. (2002)之lowess normalization的缺點，進而從一個新穎的觀點提出在cDNA microarry實驗下的normalization方式。我們以模擬的方式來證明所提的方法優於lowess，並以成功大學微生物免疫所提供的微陣列資料來說明所建議方法的應用。
Microarray is a new and promising biotechnology which allows people to monitor the expression levels for thousands of genes simultaneously. There are many sources of systematic variation which may affect the measured gene expression levels during the fabrication of microarray. The process of removing such variation is called normalization and Dudoit et al. (2002) proposed lowess method to normalize the microarray data. In the thesis we suggest a new normalization procedure for cDNA microarray experiment. Statistical simulations show that our proposed method is superior to lowess normalization. The proposed approach is illustrated with gene expression data provided by College of Medicine, NCKU.
1. Yang, Y. H. and Speed, T. P. (2002). Design issues for cDNA microarray experiments. Nature Reviews Genetics 3, 579-588.
2. Efron, B., Tibshirani, R., Storey, J. D. and Tusher V. (2001). Empirical Bayes analysis of a microarray experiment. Journal of the American Statistical Association 96, 456, 1151-1160.
3. Dudoit, S., Yang, Y. H., Speed, T. P., and Callow, M. J. (2002). Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Statistica Sinica, 12,111-140.
4. Craig, B. A., Black, M. A. and Doerge, R. W. (2003). Gene expression data: The technology and statistical analysis. Journal of Agricultural, Biological, and Environmental Statistics 8, 1, 1-28.
5. Yang, Y. H., Dudoit, S., Luu, P., and Speed, T. P. (2001) Normalization for cDNA microarray data. In M. L. Bittner, Y. Chen, A. N. Dorsel, and E. R. Dougherty (eds.). Microarrays: Optical Techonologies and Informatics, Volume 4266 of Preceedings of SPIE.
6. Duggan, D. J., Bittner, M., Chen, Y., Meltzer, P. and Trent, J. M. (1999). Expression profiling using cDNA microarrays. Nature Genetics Supplement 21, 10-14.
7. Yang, Y. H., Buckley, M. J. and Speed, T. P. (2001). Analysis of cDNA microarray images. Briefings in Bioinformatics 2, 4, 341-349.
8. Yang, Y. H., Dudoit, S., Luu, P., Lin, D. M., Peng, V., Ngai, J., Speed, T. P. (2002). Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Research 30, 4:e15.
9. Chen, L. J. (2003). A new normalization method for cDNA microarray data. NCKU. Master Thesis.
10. Liu, Y. J. (2003). The Use of FDR in Multiple Hypotheses Testing with Covariates Adjusted. NCKU. Master Thesis.
校內：立即公開校外：2004-07-12公開