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: 0.552573281315] 
Complex Size:  2 proteins 
Protein 
GO Cellular Component  GO Biological Process  GO Molecular Function 
BI3 



MSS18 



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 splicing, via transesterification reactions with guanosine as nucleophile  1.0611E6  2  7  2  6292 
Group I intron splicing  1.0611E6  2  7  2  6292 
RNA splicing, via transesterification reactions  2.8654E4  2  107  2  6292 
RNA splicing  4.3685E4  2  132  2  6292 
RNA processing  3.6384E3  2  380  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 