Methodology article
A statistical method to incorporate biological knowledge for generating testable novel gene regulatory interactions from microarray experiments
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* Corresponding author: Yang Dai yangdai@uic.edu
1 Core Genomics Laboratory at University of Illinois at Chicago, 845 West Taylor Street Chicago, IL 60607, USA
2 Department of Bioengineering (MC063), University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA
3 Department of Computer Science, University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL 60607, USA
BMC Bioinformatics 2007, 8:317 doi:10.1186/1471-2105-8-317
Published: 29 August 2007Additional 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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