MAID : An effect size based model for microarray data integration across laboratories and platforms

doi:10.1186/1471-2105-9-305

BMC Bioinformatics

Volume 9

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Borozan I
Chen L
Paeper B
Heathcote JE
Edwards AM
Katze M
Zhang Z
McGilvray ID

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Chen L
Paeper B
Heathcote JE
Edwards AM
Katze M
Zhang Z
McGilvray ID
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Methodology article

MAID : An effect size based model for microarray data integration across laboratories and platforms

Ivan Borozan¹ , Limin Chen¹^,2 , Bryan Paeper⁷ , Jenny E Heathcote⁶ , Aled M Edwards¹^,2^,3 , Michael Katze⁷ , Zhaolei Zhang¹^,2 and Ian D McGilvray⁴^,5

¹Banting and Best Department of Medical Research, University of Toronto, 112 College St, Toronto, ON M5G1L6, Canada

²Department of Medical Genetics and Microbiology, University of Toronto, 1 King's College Circle, Toronto, ON M5S1A8, Canada

³Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, ON M5G2M9, Canada

⁴Toronto General Research Institute, 610 University Avenue, Toronto, ON M5G2M9, Canada

⁵Department of Surgery, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, ON M5S1A8, Canada

⁶Toronto Western Hospital, 399 Bathurst St, Toronto, ON M5T2S8, Canada

⁷Department of Microbiology, Box 357242, University of Washington, Seattle, WA 98195-7242, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:305doi:10.1186/1471-2105-9-305


Published:	10 July 2008

Additional files

Additional file 1:

GO over-represented categories. Contains the file of all GO over-represented (p value ≤ 0.05) BP categories obtained with the MAID model (see also Table 1).

Format: XLS Size: 18KB Download file

This file can be viewed with: Microsoft Excel Viewer