Biomarker Selection and Classification of “-Omics” Data Using a Two-Step Bayes Classification Framework

Table 4

Performance comparison between NB-HNB and SVM-RFE on GEMLeR datasets.

Data	NB-HNB		SVM-RFE
	Accuracy	Number of genes selected	Accuracy	Number of genes selected
AP_Breast_Colon	0.96	22	0.96	8
AP_Breast_Kidney	0.96	17	0.96	8
AP_Breast_Lung	0.94	27	0.94	16
AP_Breast_Omentum	0.95	25	0.96	32
AP_Breast_Ovary	0.96	17	0.96	16
AP_Breast_Prostate	0.99	28	0.99	8
AP_Breast_Uterus	0.96	27	0.95	8
AP_Colon_Kidney	0.97	10	0.98	32
AP_Colon_Lung	0.95	17	0.94	32
AP_Colon_Omentum	0.95	18	0.94	32
AP_Colon_Ovary	0.95	11	0.94	16
AP_Colon_Prostate	0.98	20	0.98	8
AP_Colon_Uterus	0.96	10	0.95	16
AP_Endometrium_Breast	0.97	20	0.97	32
AP_Endometrium_Colon	0.95	21	0.97	32
AP_Endometrium_Kidney	0.98	17	0.98	32
AP_Endometrium_Lung	0.94	27	0.95	32
AP_Endometrium_Omentum	0.92	14	0.9	32
AP_Endometrium_Ovary	0.91	12	0.92	32
AP_Endometrium_Prostate	0.98	20	0.99	4
AP_Endometrium_Uterus	0.9	14	0.76	256
AP_Lung_Kidney	0.96	7	0.96	32
AP_Lung_Uterus	0.93	22	0.93	32
AP_Omentum_Kidney	0.97	18	0.98	16
AP_Omentum_Lung	0.94	24	0.9	128
AP_Omentum_Ovary	0.98	27	0.76	4
AP_Omentum_Prostate	0.98	30	0.98	16
AP_Omentum_Uterus	0.91	15	0.88	16
AP_Ovary_Kidney	0.97	14	0.97	32
AP_Ovary_Lung	0.94	15	0.93	32
AP_Ovary_Uterus	0.88	21	0.89	64
AP_Prostate_Kidney	0.98	20	0.98	2
AP_Prostate_Lung	0.98	14	0.98	4
AP_Prostate_Ovary	0.98	19	0.98	2
AP_Prostate_Uterus	0.97	28	0.99	2
AP_Uterus_Kidney	0.96	12	0.97	32
Average	0.954	18.89	0.94	30.5
Standard deviation	0.02568		0.05357
OVA_Breast	0.94	15	0.96	32
OVA_Colon	0.96	19	0.97	16
OVA_Endometrium	0.97	6	0.96	2
OVA_Kidney	0.98	20	0.98	8
OVA_Lung	0.97	24	0.97	4
OVA_Omentum	0.95	3	0.95	2
OVA_Ovary	0.92	10	0.93	32
OVA_Prostate	0.99	13	0.997	2
OVA_Uterus	0.97	21	0.93	32
Average	0.96	14.55	0.96	14.44
Standard deviation	0.02147		0.02198