Table 1. The value of genes of different statistics.

Mutation_id	gene	q-val	F_C	T_T	pt	sam	psam	F_T	Pf	SWang	P_sw
UG4B8	BCR	0.6568	−0.18	0.542	0.298	0.263	0.398	4.775	0.328	3.7843	0.0435
HV7G7	CASP3	0.6533	−0.02	0.081	0.468	0.030	0.488	1.951	0.007	3.8086	0.0428
LO1E11	CCND1	0.4079	−0.06	1.165	0.132	0.1560	0.438	0.13	1.365	5.1738	0.0179
LO5H3	EGFR	0.4683	0.004	0.016	0.494	−0.006	0.502	2.939	2E-04	5.9013	0.0118
HV4C6	IL1R1	0.4788	0.351	0.977	0.173	−0.471	0.677	7.003	0.912	3.7972	0.0431
HV25H4	MCM4	0.3918	−0.38	0.996	0.169	0.450	0.313	7.639	0.994	4.5766	0.0258
HV5D11	MYD88	0.5618	0.043	0.228	0.412	−0.083	0.532	1.531	0.058	3.7185	0.0456
HV16G1	PDGFB	0.1694	0.786	1.744	0.052	−0.917	0.812	12.58	2.92	4.4912	0.0272
HV31E10	RRAS2	0.1957	−0.18	1.552	0.072	0.416	0.342	0.807	2.428	3.7161	0.0456
UG4C10	TAGLN	0.5245	0.818	0.655	0.262	−0.455	0.672	76.68	0.438	3.7843	0.0435
LO2D5	TP53	0.2422	−0.52	1.444	0.086	0.721	0.242	2.261	0.157	5.249996	0.017

The genes and their related mutation Id in Dataset1, q_val is the q_value of gene expression, F_C is Fold-change of gene expression, T_T is T-test value, pt is the p-value of T-test. Sam is the value of SAM(0.3), F_T is the value of F_test, pf is the p-value of F-test for gene expression. SWang is the value of SWang for gene expression, and P_sw is the p-value of SWang.