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Table 9 Repressed ESR gene set: comparison between NEAT and LA+S

From: NEAT: an efficient network enrichment analysis test

  

μ 0

log10 (p-value)

 

Gene set

NEAT

LA+S

NEAT

LA+S

 

GO Slim BP sets:

    

1

Cytoplasmic translation

2641.9

3583.5

<-300

–290.9

2

Ribosomal large subunit biogenesis

1097.8

1602.4

<-300

–269.2

3

Ribosomal small subunit biogenesis

2073.7

3013.2

<-300

–236.8

4

Ribosome assembly

621.9

872.1

<-300

–95.9

5

RNA modification

1062.0

1422.7

<-300

–213.7

6

rRNA processing

3290.2

4623.2

<-300

<-300

7

tRNA processing

901.0

1137.6

<-300

–103.3

8

Translational elongation

782.3

1019.5

–283.8

–71.2

9

Ribosomal subunit export from nucleus

561.4

693.4

–281.8

–151.2

10

Nuclear transport

2003.5

2452.5

–162.4

–33.0

11

Translational initiation

462.5

594.8

–112.1

–33.6

12

Transcription from RNA polymerase III promoter

228.4

281.6

–107.7

–43.6

13

Organelle assembly

1362.7

1719.2

–96.1

–8.0

14

SnoRNA processing

303.3

349.8

–82.0

–26.5

15

Regulation of translation

1328.6

1577.5

–73.5

–12.9

16

DNA-dependent transcription, termination

447.0

575.2

–57.5

–11.7

17

Transcription from RNA polymerase I promoter

646.4

874.2

–49.5

–5.2

18

tRNA aminoacylation for protein translation

233.1

256.7

–29.4

–11.2

19

Protein alkylation

759.4

1000.0

–31.4

–1.2

20

Nucleobase-containing compound transport

1155.4

1445.1

–20.8

–0.1

21

Cytokinesis

806.9

925.9

–16.0

–1.8

22

Peptidyl-amino acid modification

883.0

1102.4

–13.2

–0.1

23

Vitamin metabolic process

274.0

245.8

–3.1

–5.5

 

KEGG pathways:

    

24

Ribosome biogenesis in eukaryotes

3661.0

5212.5

<-300

<-300

25

Ribosome

8731.7

11954.0

<-300

–283.3

26

RNA polymerase

1541.2

2058.0

<-300

–76.1

27

Purine metabolism

3623.0

4136.9

–263.6

–66.9

28

Pyrimidine metabolism

2884.5

3402.5

–234.9

–61.0

29

RNA transport

2906.4

3193.2

–177.6

–75.4

30

Aminoacyl-tRNA biosynthesis

960.9

934.2

–58.2

–49.8

31

RNA degradation

1939.3

2051.3

–51.9

–19.9

32

mRNA surveillance pathway

1413.5

1477.3

–24.0

–12.7

33

One carbon pool by folate

392.5

344.2

–15.0

–19.5

34

Pentose phosphate pathway

947.1

979.2

–9.7

–4.6

35

Cyanoamino acid metabolism

158.8

132.2

–6.3

–7.2

36

Sulfur relay system

196.5

172.7

–2.9

–3.9

37

Carbapenem biosynthesis

89.8

75.1

–2.7

–4.1

38

Spliceosome

2523.6

2432.2

–2.3

–4.1

39

Synthesis and degradation of ketone bodies

39.8

29.8

–0.3

–2.2

  1. The table reports the gene sets that are found to be over-enriched (α=1 %) by at least one of the two methods. μ 0 denotes the expected value of N AB in the absence of enrichment. The last two columns report log 10 p-values for the proposed NEAT and the LA+S test of [19], respectively