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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