A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments

doi:10.1186/1471-2105-8-317

BMC Bioinformatics

Volume 8

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Methodology article

A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments

Peter Larsen¹ , Eyad Almasri² , Guanrao Chen³ and Yang Dai²

¹Core Genomics Laboratory at University of Illinois at Chicago, 845 West Taylor Street Chicago, IL 60607, USA

²Department of Bioengineering (MC063), University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA

³Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA

author email corresponding author email

BMC Bioinformatics 2007, 8:317doi:10.1186/1471-2105-8-317


Published:	29 August 2007

Additional files

Additional file 1:

Distribution of number of annotated genes. The data provides the distribution of numbers of annotated genes distribution of at the selected 23 GO MF annotations by GO Slim Mapper.

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Additional file 2:

Examples of histograms of GO MF annotation pairs. The figures provide evidences that GO annotation pairs follow normal distribution.

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