Use of normalization methods for analysis of microarrays containing a high degree of gene effects

doi:10.1186/1471-2105-9-505

BMC Bioinformatics

Volume 9

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Methodology article

Use of normalization methods for analysis of microarrays containing a high degree of gene effects

Terri T Ni¹ , William J Lemon⁴ , Yu Shyr²^,3 and Tao P Zhong¹

¹Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232, USA

²Division of Cancer Biostatistics, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA

³Department of Statistics, National Cheng Kung University, Taiwan, ROC

⁴Academic Programs, Missouri Tech, St. Louis, MO 63132, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:505doi:10.1186/1471-2105-9-505


Published:	28 November 2008

Additional files

Additional file 1:

Additional data analysis results. figures illustrating accuracy of normalization in the analysis of linear simulated data and gene effect conditions before and at the NVSA performance break-down.

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