Research article
Probabilistic prediction and ranking of human protein-protein interactions
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* Corresponding author: Geoffrey J Barton geoff@compbio.dundee.ac.uk
School of Life Sciences Research, College of Life Sciences, University of Dundee, Scotland, UK
BMC Bioinformatics 2007, 8:239 doi:10.1186/1471-2105-8-239
Published: 5 July 2007Additional files
Additional File 1:
High scoring InterPro domain pairs. List of InterPro domain pairs that achieve highest chi-square score of co-occurrence in our set of positive interactors.
Format: XLS Size: 900KB Download file
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Additional File 2:
High scoring post-translational modification pairs. List of high-scoring post-translational modification pairs.
Format: XLS Size: 42KB Download file
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Additional File 3:
All LR400 predicted interactions ranked. All human protein pairs predicted to have a likelihood ratio of interaction greater than 400 and thus a posterior odds ratio of interaction greater than 1.
Format: XLS Size: 3.4MB Download file
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Additional file 4:
Additional methods. In depth description of the calculation of likelihood ratios for the modules.
Format: PDF Size: 40KB Download file
This file can be viewed with: Adobe Acrobat Reader