From Publication:  Qiu J, Noble WS (2008) Predicting CoComplexed Protein Pairs from Heterogeneous Data. PLoS Comput Biol 4(4): e1000054. doi:10.1371/journal.pcbi.1000054 
Notes:  Classifier used Gene Ontology annotations. [FDR: 0.02] [SVM Score: 1.42445186098] 
Complex Size:  2 proteins 
Protein 
GO Cellular Component  GO Biological Process  GO Molecular Function 
AI4 



SCEI 



Given the number of proteins in the complex (A), total proteins annotated with a given GO term (B), and the total number of annotated proteins (T); the pvalue represents the chances of randomly having the number of proteins in the complex annotated with a specific GO term (I).
Only showing terms with a pvalue less than or equal to 0.01.
GO Term 
Pvalue 
A 
B 
I 
T 
Given the number of proteins in the complex (A), total proteins annotated with a given GO term (B), and the total number of annotated proteins (T); the pvalue represents the chances of randomly having the number of proteins in the complex annotated with a specific GO term (I).
Only showing terms with a pvalue less than or equal to 0.01.
GO Term 
Pvalue 
A 
B 
I 
T 
intron homing  7.579E7  2  6  2  6292 
DNA recombination  3.2544E4  2  114  2  6292 
DNA metabolic process  8.631E3  2  585  2  6292 
Given the number of proteins in the complex (A), total proteins annotated with a given GO term (B), and the total number of annotated proteins (T); the pvalue represents the chances of randomly having the number of proteins in the complex annotated with a specific GO term (I).
Only showing terms with a pvalue less than or equal to 0.01.
GO Term 
Pvalue 
A 
B 
I 
T 
endonuclease activity  9.2464E5  2  61  2  6292 
nuclease activity  9.9543E4  2  199  2  6292 
hydrolase activity, acting on ester bonds  2.929E3  2  341  2  6292 