Revealing metabolite biomarkers for acupuncture treatment by linear programming based feature selection

BMC Systems Biology

Table 1 The top ten identified biomarkers by different methods on the ST36 meridian point.

Student t-test			Fold change			SMLR		SVM-RFE		Our LPFS method
ID	ppm	t-score	ID	ppm	FC-score	ID	ppm	ID	ppm	ID	ppm	LPFS score	Metabolite name
86	3.55	15.29	86	3.55	73.48	45	4	86	3.55	86	3.55	0.015
195	2.46	11.91	87	3.54	68.52	50	3.95	68	3.73	92	3.49	0.008
251	1.9	11.07	308	1.33	46.58	52	3.93	87	3.54	87	3.54	0.006	a-glucose/glycine
45	3.96	10.96	310	1.31	41.61	58	3.87	69	3.72	308	1.33	0.002	lactate
229	2.12	10.86	70	3.71	40.75	60	3.85	102	3.39
81	3.6	10.80	92	3.49	38.61	67	3.78	70	3.71
18	4.23	10.03	293	1.48	37.45	68	3.77	295	1.46
127	3.14	9.75	295	1.46	33.26	69	3.76	116	3.25
17	4.24	9.71	71	3.7	28.55	70	3.75	229	2.12
232	2.09	9.35	69	3.72	26.30	71	3.74	88	3.53

ISSN: 1752-0509