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Table 4 Classifier performance in predicting GO terms using individual sources of data and some of their combinations using only data from mouse.

From: Combining heterogeneous data sources for accurate functional annotation of proteins

Source

 

AUC

  

P20R

 
 

MF

BP

CC

MF

BP

CC

BLAST

0.77

0.61

0.69

0.40

0.13

0.25

Sequence

0.83

0.65

0.76

0.41

0.14

0.26

PPI

0.78

0.80

0.81

0.33

0.25

0.43

Protein-GO term co-mention

0.78

0.75

0.79

0.24

0.17

0.33

Expression

0.58

0.64

0.62

0.04

0.06

0.10

PPI + co-mention

0.85

0.82

0.85

0.43

0.29

0.45

PPI + co-mention + expression

0.86

0.83

0.86

0.42

0.29

0.46

  1. BLAST refers to a classifier trained on BLAST scores only; the Sequence entry uses all the sequence-based features. In addition to classifiers trained on PPI, co-mention and expression individually, we also provide results using PPI and co-mention and the combination of all three.
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BMC Bioinformatics

ISSN: 1471-2105

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