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Table 8 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 common 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	Cyp1a1	0.9538	0.0064	Cyp1a1	0.9658	0.0063
2	RT1-Bb	0.9707	0.0018	Abcc3	0.9786	0.0019
3	Gstp1	0.9740	0.0017	Cyp7a1	0.9689	0.0016
4	Usp2	0.9600	0.0015	Cyp1a2	0.9751	0.0016
5	Nr1d1	0.9693	0.0012	Fabp2	0.9705	0.0015
6	Obp3	0.9694	0.0011	Sgcb	0.9677	0.0014
7	Fam111a	0.9733	0.0011	Atf3	0.9672	0.0014
8	Prss23	0.963	0.0009	Gdf15	0.9692	0.0013
9	Igtp	0.9668	0.0009	Apoa4	0.9699	0.0011
10	Taf8	0.9725	0.0008	Slc13a3	0.9751	0.0011
11	Dmbt1	0.9768	0.0008	Ugt2b17	0.9751	0.0011
12	Ccng1	0.9611	0.0008	Acy3	0.9670	0.0011
13	Cav1	0.9654	0.0008	Porcn	0.9732	0.0011
14	Rnf152	0.9697	0.0008	Slc7a5	0.9652	0.0011
15	Cxcl10	0.9711	0.0008	Hdc	0.9676	0.0010
16	Rhbdf2	0.9764	0.0008	Ddhd1	0.9686	0.0010
17	Casp4	0.9683	0.0008	Rprm	0.9743	0.0010
18	Cyp2c12	0.9688	0.0008	Btg3	0.9700	0.0010
19	Aldh1a7	0.9697	0.0008	Maff	0.9757	0.0010
20	Abcc3	0.9721	0.0008	Fabp4	0.9734	0.0009

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