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Table 2 Informative genes that were identified as most relevant in MA-145 and G-145 data sets

From: Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

 

MA-145

G-145

 

Ranking by

Ranking by

Gene

T-test

IG-1D

IG-2D

T-test

IG-1D

IG-2D

PGM2L1

1

4

1

1

3

1

SLC22A4

2

20

23

2

13

12

PRKACB

29

1

19

34

4

2

DOC2B

28

7

13

-

37

20

PIK3R1

-

21

9

-

10

6

NTRK1

-

17

8

-

32

32

NRCAM

4

12

-

-

19

-

ALDH3A2

6

-

47

5

-

-

DST

-

-

3

-

43

-

A_32_P30874

32

2

2

-

-

-

Hs23691.1

11

29

4

-

-

-

PLXNA4A

45

3

15

-

-

-

HSD17B3

3

34

-

-

-

-

ACN9

-

-

-

7

5

4

Slartoybo

-

-

-

19

1

5

LOC100289222

-

-

-

18

20

3

Sneyga

-

-

-

-

2

10

SPRED3

-

-

-

3

42

-

Jardarby

-

-

-

4

-

-

  1. All genes that were ranked in top 10 most relevant by any filtering method in either data set are shown. The numbers in each column correspond to ranks achieved by genes in a data set, processed by one of three filtering methods. Genes present in top 50 variables in both data sets are shown first, followed by those present in top 50 only in MA-145 data set, and then by those exclusive in top 50 in G-145 data set
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Biology Direct

ISSN: 1745-6150

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