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: 0.069] [SVM Score: 0.639070527757] 
Complex Size:  2 proteins 
Protein 
GO Cellular Component  GO Biological Process  GO Molecular Function 
SGF29 



SUS1 



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 
SAGA complex  1.1672E5  2  22  2  6292 
SAGAtype complex  1.2783E5  2  23  2  6292 
histone acetyltransferase complex  4.7798E5  2  44  2  6292 
nucleoplasm part  1.5102E3  2  245  2  6292 
nucleoplasm  1.7541E3  2  264  2  6292 
nuclear lumen  5.1728E3  2  453  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 
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 