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:  Classfier did not use Gene Ontology annotations. [FDR: 0.074] [SVM Score: 0.400478849206] 
Complex Size:  2 proteins 
Protein 
GO Cellular Component  GO Biological Process  GO Molecular Function 
RGR1 



SGF29 



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 
nucleoplasm part  1.5102E3  2  245  2  6292 
nucleoplasm  1.7541E3  2  264  2  6292 
nuclear lumen  5.1728E3  2  453  2  6292 
mediator complex  5.7138E3  2  18  1  6292 
SAGA complex  6.9813E3  2  22  1  6292 
SAGAtype complex  7.2981E3  2  23  1  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 
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 
RNA polymerase II transcription mediator activity  6.9813E3  2  22  1  6292 