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Table 2 Top scoring GO classes from one of the positive datasets

From: Generation of Gene Ontology benchmark datasets with various types of positive signal

   

Correlation with signal classes

cl. Num.

log10(p)

Class names

13

12

9

5

6

1

5.152

metal ion transporter activity

-0.005

-0.0078

-0.0068

-0.0067

0.9068

2

4.8916

carboxylic acid transport

0.0266

-0.0088

-0.0076

0.8561

0.0165

3

4.7933

organic acid transport

0.0262

-0.0089

-0.0077

0.8475

0.0162

4

4.6381

tRNA ligase activity

-0.0048

-0.0075

0.9863

-0.0064

-0.0064

5

4.6381

amino acid transport

-0.0048

-0.0075

-0.0065

1

-0.0064

6

4.6381

di-, tri-valent inorganic cation transporter activity

-0.0048

-0.0075

-0.0065

-0.0064

1

7

4.6381

ligase activity, forming carbon-oxygen bonds

-0.0048

-0.0075

0.9863

-0.0064

-0.0064

8

4.6381

ligase activity, formingaminoacyl-tRNA and relatedcompounds

-0.0048

-0.0075

0.9863

-0.0064

-0.0064

9

4.5219

RNA ligase activity

-0.0048

-0.0076

1

-0.0065

-0.0065

10

4.2093

carboxylic acid transporter activity

0.0269

-0.0087

-0.0075

0.7439

0.0168

11

4.1976

ligase activity, forming phosphoric ester bonds

-0.005

-0.0079

0.9615

-0.0068

-0.0068

12

4.1196

bud tip

-0.0056

1

-0.0076

-0.0075

-0.0075

13

4.0201

response to inorganic substance

1

-0.0056

-0.0048

-0.0048

-0.0048

14

3.9477

organic acid transporter activity

0.0258

-0.0089

-0.0078

0.7214

0.0159

15

3.8469

transition metal ion transporter activity

-0.0042

-0.0066

-0.0057

-0.0057

0.8813

16

3.7791

iron ion transporter activity

-0.0025

-0.0039

-0.0034

-0.0034

0.5258

17

3.6126

tRNA aminoacylation for protein translation

-0.0044

-0.0068

0.8395

-0.0059

-0.0059

18

3.6126

amino acid activation

-0.0044

-0.0068

0.8395

-0.0059

-0.0059

19

3.6126

tRNA aminoacylation

-0.0044

-0.0068

0.8395

-0.0059

-0.0059

20

3.5079

ion transporter activity

-0.0092

-0.0144

-0.0125

-0.0123

0.5218

21

3.4751

amine transport

-0.0055

0.0121

-0.0075

0.8651

-0.0074

22

3.3985

amino acid transporter activity

-0.0045

-0.0071

-0.0061

0.9128

-0.0061

23

3.2561

cation transporter activity

-0.0085

-0.0134

-0.0116

-0.0115

0.5605

24

3.246

di-, tri-valent inorganic cation transport

0.0258

-0.0089

-0.0078

0.0159

0.7685

25

3.1866

transporter activity

-0.0055

-0.0192

-0.023

0.2493

0.2833

26

3.1644

transition metal ion transport

0.0291

-0.0082

-0.0071

0.0186

0.6841

27

3.0334

basic amino acid transporter activity

-0.0022

-0.0035

-0.0031

0.4702

-0.003

28

2.9412

siderophore-iron transporter activity

-0.0016

-0.0025

-0.0022

-0.0021

0.3324

29

2.9412

siderophore transporter activity

-0.0016

-0.0025

-0.0022

-0.0021

0.3324

30

2.9035

metal ion transport

0.0241

-0.0094

-0.0081

0.0144

0.733

  1. Table shows 30 most over-represented GO classes from the dataset, ordered with the log10(p-values). Dataset was generated with artificial signal embedded to five classes, shown with bold font in the class list. Table shows also correlation of each reported class with these signal classes. The clear strongest correlation is shown here with bold font. Signal classes are marked in columns using their ranking in the result list. Notice the varying number of strong correlations that different signal classes have.