Table 4

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

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


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.

Sokolov et al. BMC Bioinformatics 2013 14(Suppl 3):S10   doi:10.1186/1471-2105-14-S3-S10

Open Data