Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data

doi:10.1186/1471-2105-9-520

BMC Bioinformatics
Volume 9

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Methodology article

Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data

Carl R Pelz¹ , Molly Kulesz-Martin²^,3^,5 , Grover Bagby¹^,4^,5 and Rosalie C Sears¹^,5

¹Department of Molecular and Medical Genetics, Oregon Health and Sciences University, Portland, OR 97239-3098, USA

²Department of Dermatology, Oregon Health and Sciences University, Portland, OR 97239-3098, USA

³Department of Cell and Developmental Biology, Oregon Health and Sciences University, Portland, OR 97239-3098, USA

⁴Department of Medicine, Oregon Health and Sciences University, Portland, OR 97239-3098, USA

⁵OHSU Knight Cancer Institute, Oregon Health and Sciences University, Portland, OR 97239-3098, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:520doi:10.1186/1471-2105-9-520


Published:	4 December 2008

Additional files

Additional file 1:

Additional examples of GRSN. Scatter plots showing the results for selected samples when applying GRSN to various datasets.

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Additional file 2:

Additional examples of a global skew corrected by GRSN. Scatter plots showing global skew between experimental conditions before and after correction with GRSN.

Format: PDF Size: 214KB Download file

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Additional file 3:

Mini website with code and instructions for GRSN method. This file contains a zipped directory structure to provide a mini website with code and directions which provide an implementation of the GRSN method using the open source “R” environment.

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