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Table 9 Genes ranked by the importance (based on the measure given by R), for Microarray and RNA-Seq, using the whole data including 8 verities of MOAs with the complete gene set

From: Inter-platform concordance of gene expression data for the prediction of chemical mode of action

Rank

Microarray

RNASeq

 

Gene name

Resulted accuracy

R

Gene name

Resulted accuracy

R

1

LOC100912602

0.9616

0.0096

LOC690286

0.9407

0.0098

2

Il1rap

0.9821

0.008

Plcd3

0.9913

0.0087

3

Htatip2

0.9736

0.0074

Sgcb

0.9732

0.0078

4

Cd276

0.9557

0.0073

Retsat

0.9733

0.0077

5

Ankrd33b

0.9637

0.0065

Zfp39

0.9924

0.0076

6

Id1

0.9836

0.0064

Abcg5

0.9745

0.0074

7

Hgd

0.9649

0.0062

perja

0.9927

0.0073

8

RGD1305928

0.9562

0.0059

Sgk2

0.9530

0.0073

9

Acot2

0.9848

0.0052

Naaladl1

0.9657

0.0072

10

Dusp1

0.9860

0.0040

Mrps18b

0.9830

0.0071

11

Sat2

0.9870

0.0040

flergar

0.9842

0.0067

12

Adcy4

0.9663

0.0038

Nol3

0.9933

0.0067

13

Rexo4

0.9863

0.0037

stukaw

0.9755

0.0065

14

Dtnb

0.9863

0.0037

Igf2bp2

0.9837

0.0064

15

Hbb

0.9873

0.0037

slakoy

0.9937

0.0063

16

Fam111a

0.9676

0.0034

Serpinb1a

0.9852

0.0058

17

LOC690020

0.9770

0.0031

Ccnd1

0.9856

0.0054

18

Ddias

0.9870

0.0031

Id1

0.9947

0.0053

19

Resp18

0.9779

0.0031

Nrxn2

0.9947

0.0053

20

Mlc1

0.9879

0.0030

LOC494499

0.9658

0.0053