| From Publication: | Qiu J, Noble WS (2008) Predicting Co-Complexed 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: 0.021] [SVM Score: 0.411857728092] |
| Complex Size: | 2 proteins |
| Protein |
GO Cellular Component | GO Biological Process | GO Molecular Function |
| KAR9 |
|
|
|
| SGO1 |
|
|
|
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 p-value 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 p-value less than or equal to 0.01.
| GO Term |
P-value |
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 p-value 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 p-value less than or equal to 0.01.
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 p-value 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 p-value less than or equal to 0.01.
| GO Term |
P-value |
A |
B |
I |
T |