| 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: | Classifier used Gene Ontology annotations. [FDR: 0.02] [SVM Score: 0.983832510114] |
| Complex Size: | 2 proteins |
| Protein |
GO Cellular Component | GO Biological Process | GO Molecular Function |
| MKT1 |
|
|
|
| PBP1 |
|
|
|
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 |
| polysome | 6.0632E-6 | 2 | 16 | 2 | 6292 |
| ribonucleoprotein complex | 6.6615E-3 | 2 | 514 | 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 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 |