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. Author manuscript; available in PMC: 2019 Sep 19.
Published in final edited form as: J Stat Comput Simul. 2018 Sep 19;88(18):3502–3528. doi: 10.1080/00949655.2018.1523411

Table 3.

Analysis of SKCM data using the proposed approach: coefficients of identified main effects and interactions

Main:G Age Stage Gender Clark level

Main:E −0.0100 1.2197 −0.0587 0.3307
AADACL3 0.0004
AMBN 0.0005
ATP1A2 −0.0011
BCAR4 0.0004
BPIFA2 0.0001
C7ORF69 0.0038 0.0046
C8ORF34 0.0056 0.0101
CALCA 0.0029 0.0010 0.0008
CLNS1A 0.0066 0.0118 0.0020
CNBD2 0.0011
CYP1A2 0.0008
CYP7A1 0.0031 0.0025
DEFA5 0.0056 0.0100
DEFB4A 0.0023 0.0016
DGKB −0.0029 0.0027
DGKK 0.0029 0.0018
DPRX 0.0018 0.0004
FAM131B −0.0025 −0.0014
FAM9B 0.0028 0.0020
FGF4 0.0006
FGFR3 0.0026 0.0015
FMR1NB 0.0038 0.0042
GLYATL3 −0.0006
IFNA14 −0.0004
IL17A 0.0012
KRT16 0.0065 0.0124
LAMP1 0.0010
LCE3C 0.0002
LPO 0.0001
MEP1A 0.0029 0.0019
NPS −0.0006
OR2V2 −0.0002
OR5M8 0.0011
PHOX2B −0.0026 −0.0018
RETNLB −0.0028 −0.0004
RIIAD1 0.0079 0.0103 0.0111
S100A7 −0.0006
S100A7A −0.0003
SEMG2 0.0002
SPINK9 −0.0049 −0.0046
SPRR1A −0.0026 −0.0003
SPRR2G 0.0011 0.0003
TRIM55 −0.0019 −0.0010