cDNA微陣列（cDNA Microarray）是最近幾年所新發展出來的生物科技，這套技術可以同時檢測數千個基因的表現量。而一次cDNA微陣列實驗會產生相當龐大的數據，如何正確的解讀數據中所包含的意義，則需要用到很多的統計方法。
cDNA微陣列的一項重要應用，是比較不同的細胞株（cell lines）其基因的表現差異，所用到的統計方法是多重假設檢定（multiple hypotheses testing）。本文主要工作是提出一個在beta model下的檢定方法，並與Ideker et al.（2000）的方法做比較及討論造成差異的原因。

1. Chen, Y., Dougherty, E. R. and Bittner, M. L. (1997). Ratio-based decisions and the quantitative analysis of cDNA microarray images. J. Biomedical Optics 2, 364-374.
2. Cleveland, W. S. (1979). Robust locally weighted regression and smoothing scatterplots. J. Amer. Statist. Assoc. 74, 829-836.
3. Debouck, C. and Goodfellow, P. N. (1999). DNA microarrays in drug discovery and development. Nature Genet. 21, 48-50.
4. Dudoit, S., Yang, Y. H., Callow, M. J. and Speed, T. P. (2002). Statistical methods for identifying differentially expressed genes in replicated cDNA microarray experiments. Statistica Sinica 12, 111-139.
5. Eisen, M. B. and Brown, P. O. (1999). DNA arrays for analysis of gene expression, Methods Enzymol 303, 179-205.
6. Hong, J. H., Gatti, R. A., Hou, Y. K., Chiang, C. S. and McBride, W. H. (1994). G2/M-phase arrest and release in ataxia telangiectasia and normal cells after exposure to ionizing radiation. Radiation Research 140, 17-23.
7. Ideker, T., Thorsson, V., Siegel, A. F. and Hood, L. E. (2000). Testing for differentially-expressed genes by maximum-likelihood analysis of microarray data. J. Comput. Biology, Vol. 7, No. 6, 805-817.
8. Ihaka, R. and Gentleman, R. (1996). R: A Language for Data Analysis and Graphics. J. Computat. Graph. Statist. 5, 299-314.
9. Kerr, M. K. and Churchill, G. A. (2000). Experimental design for gene expression microarrays. Biostatistics 2, 183-201.
10. Khan, J., Bittner, M. L., Chen, Y., Meltzer, P. S. and Trent, J. M. (1999). DNA microarray technology: the anticipated impact on the study of human disease. Biochimica et Biophysica Acta 1423, M17-M28.
11. Schena, M., Shalon, D., Heller, R., Chai, A., Brown, P. O. and Davis, R. W. (1996). Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc. Natl. Acad. Sci. USA. 93, 10614-10619.
12. Tusher, V. G., Tibshirani, R. and Chu, G. (2001). Significance analysis of microarrays applied to transcriptional responses to ionizing radiation. Proc. Natl. Acad. Sci., Vol. 98, No. 9, 5116-5121.
13. Wang, K., Gan, L., Jeffery, E., Gayle, M., Gown, A. M., Skelly, M., Nelson, P. S., Ng, W.V., Schummer, M., Hood, L. and Mulligan, J. (1999). Monitoring gene expression profile changes in ovarian carcinomas using cDNA microarray. Gene 299, 101-108.
14. Westfall, P. H. and Young, S. S. (1993). Resampling-based Multiple Testing: Examples and Methods for p-value Adjustment, Wiley, New York.
15. Yang, Y. H., Dudoit, S., Luu, P., Lin, D. M., Peng, V., Ngai, J. and Speed, T. P. (2002). Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation. Nucleic Acids Research, Vol. 30, No. 4, e15.
16. 陳彥良（2000）。微陣列之影像掃瞄系統與群集分析之研究。清華大學原子科學系碩士論文。
17. 陳恩賜（2001）。基因微陣列系統之優化研究及其應用於細胞凋亡相關基因的基因表現之初探。清華大學原子科學系碩士論文。