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Table 4 Genes selected by different approaches

From: Dynamic incorporation of prior knowledge from multiple domains in biomarker discovery

MethodParametersNumber of Selected GenesSelected Genes
Lassoλ = 0.0315ATP5J, AURKA, GNPTAB, GPR137B, HSD17B4, IFNGR2, IGFBP5, MED30, MFF, SDC2, SMARCC1, TAF2, TUBB, UBE2J2, ZHX1
RRFγ = 0.713ARID4A, CASP3, CAV1, CCND1, CCNH, CDC25C, CDK10, FGF8, IGFBP5, MEN1, MMP3, PDGFB, SEMA3F
Know-GRRF (t = 10, c = 0.5)Cancer gene priorδ = 1169Omitted due to space limits.
Consv. priorδ = 0.59BCL2L1, BMP4, COL1A1, E2F1, FAS, MEN1, PLAT, RAD23A, TSG101
VI priorδ = 0.26CSF2, DDX6, JUND, MMP3, NOTCH4, PURA
All priorsδ = 0.5
βdriver = 0.3
βconsv = 0.6
βvi = 0.1
7BMP4, CCNA2, FAS, MEN1, PTPRF, RAD23A, TSG101