Table 3.

Analysis of microarray data set

	all data	random partition
Method	# nonzero	ave # nonzero	prediction error
LS-Lasso	24	21.66(1.67)	1.57(0.03)
Q-Lasso (τ = 0.5)	23	18.36(0.83)	1.51(0.03)
Q-Lasso (τ = 0.3)	23	19.34(1.69)	1.54(0.04)
Q-Lasso (τ = 0.7)	17	15.54(0.71)	1.29(0.02)
LS-ALasso	16	15.22(10.72)	1.65(0.27)
Q-ALasso (τ = 0.5)	13	11.28(0.65)	1.53(0.03)
Q-ALasso (τ = 0.3)	19	12.52(1.38)	1.57(0.03)
Q-ALasso (τ = 0.7)	10	9.16(0.48)	1.32(0.03)
LS-SCAD	10	11.32(1.16)	1.72(0.04)
Q-SCAD (τ = 0.5)	23	18.32(0.82)	1.51(0.03)
Q-SCAD (τ = 0.3)	23	17.66(1.52)	1.56(0.04)
Q-SCAD (τ = 0.7)	19	15.72(0.72)	1.30(0.03)
LS-MCP	5	9.08(1.68)	1.82(0.04)
Q-MCP (τ = 0.5)	23	17.64(0.82)	1.52(0.03)
Q-MCP (τ = 0.3)	15	16.36(1.53)	1.57(0.04)
Q-MCP (τ = 0.7)	16	13.92(0.72)	1.31(0.03)