Normalization for two-color cDNA microarray data
作者： Yee Hwa Yang , Natalie P. Thorne
关键词:
摘要: There are many sources of systematic variation in microarray experiments which affect the measured gene expression levels. Normalization is term used to describe process removing such variation. Two-color cDNA comparative nature; therefore, commonly normalization methods focus on adjusting value log-intensity ratios between red and green channels. This paper reviews some procedures required ensure that observed differences across spots both within slides reliably measured. In addition, investigates possibility obtaining meaningful single-channel information from two-color after careful normalization.
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sci-hub.se 参考文章(23)
David B. Finkelstein, Fredrik Sterky, Shauna Somerville, J. Michael Cherry, Jeremy Gollub, Rob Ewing, Iterative linear regression by sector: renormalization of cDNA microarray data and cluster analysis weighted by cross homology ,(2001)
Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nature Genetics. ,vol. 14, pp. 457- 460 ,(1996) , 10.1038/NG1296-457
Mark Schena, Microarray Biochip Technology ,(2000)
Thomas B Kepler, Lynn Crosby, Kevin T Morgan, Normalization and analysis of DNA microarray data by self-consistency and local regression Genome Biology. ,vol. 3, pp. 1- 12 ,(2002) , 10.1186/GB-2002-3-7-RESEARCH0037
Douglas T Ross, Uwe Scherf, Michael B Eisen, Charles M Perou, Christian Rees, Paul Spellman, Vishwanath Iyer, Stefanie S Jeffrey, Matt Van de Rijn, Mark Waltham, Alexander Pergamenschikov, JC Lee, Deval Lashkari, Dari Shalon, Timothy G Myers, John N Weinstein, David Botstein, Patrick O Brown, None, Systematic variation in gene expression patterns in human cancer cell lines. Nature Genetics. ,vol. 24, pp. 227- 235 ,(2000) , 10.1038/73432
Russell D. Wolfinger, Greg Gibson, Elizabeth D. Wolfinger, Lee Bennett, Hisham Hamadeh, Pierre Bushel, Cynthia Afshari, Richard S. Paules, Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models Journal of Computational Biology. ,vol. 8, pp. 625- 637 ,(2001) , 10.1089/106652701753307520
William S. Cleveland, Susan J. Devlin, Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting Journal of the American Statistical Association. ,vol. 83, pp. 596- 610 ,(1988) , 10.1080/01621459.1988.10478639
William S. Cleveland, Robust Locally Weighted Regression and Smoothing Scatterplots Journal of the American Statistical Association. ,vol. 74, pp. 829- 836 ,(1979) , 10.1080/01621459.1979.10481038
C. Li, W. H. Wong, Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection Proceedings of the National Academy of Sciences of the United States of America. ,vol. 98, pp. 31- 36 ,(2001) , 10.1073/PNAS.98.1.31
Eric E. Schadt, Cheng Li, Byron Ellis, Wing H. Wong, Feature extraction and normalization algorithms for high-density oligonucleotide gene expression array data Journal of Cellular Biochemistry. ,vol. 84, pp. 120- 125 ,(2001) , 10.1002/JCB.10073