BMC Medical Genomics

Table 1 Therapy Classification

From: Host sequence motifs shared by HIV predict response to antiretroviral therapy

	Standard Datenum			Incremental Reduction			Bimodal Classification
	R	NR	Mean AUC	R	NR	Mean AUC	R	NR	Mean AUC
AZT	526	390	0.7750	581	335	0.8550	395	521	0.7802
AZT, IDV	182	148	0.7803	189	141	0.9281	144	186	0.9107
DDI	466	273	0.7572	503	236	0.8363	272	467	0.7648
DDI, NFV	249	130	0.7352	264	115	0.8004	175	204	0.6814
D4T	450	307	0.7654	482	275	0.8081	274	483	0.7683
D4T, NFV	266	153	0.7499	280	139	0.6664	181	238	0.6713
D4T, NFV	372	200	0.7377	391	181	0.8455	260	312	0.7613
D4T, DDI, NFV	234	115	0.7518	242	107	0.7764	173	176	0.6817
3TC	582	466	0.7721	654	394	0.9280	408	640	0.7788
3TC, IDV	187	151	0.7748	196	142	0.9030	144	194	0.8763
3TC, NFV	202	159	0.7535	242	119	0.8810	175	186	0.8606
3TC, AZT	509	379	0.7731	560	328	0.8439	391	497	0.7845
3TC, AZT, IDV	177	145	0.7849	184	138	0.8858	144	178	0.8815
DDI, EFV	248	121	0.7389	208	89	0.9312	192	177	0.6711
D4T, EFV	260	125	0.7406	285	100	0.8479	194	191	0.9887
D4T, DDI, EFV	233	107	0.7516	254	86	0.9446	188	152	0.7499
3TC, EFV	207	130	0.7313	245	100	0.9731	179	166	0.9497
All Therapies	1115	904	0.7644	1188	831	0.8351	700	1319	0.8402

The overall statistics of the clinically annotated reverse transcriptase sequences from the Stanford HIV-1 Drug Resistance Database. The table shows breakdown of patients in each therapy regimen using the three different classification rules: Standard Datenum (SD), Incremental Reduction (IR), and Bimodal Classification (BM). R; responders, NR; non responders. The average AUC over 500 training/testing iterations indicate the success in differentiating responders from non responders using short linear sequence motifs as features in machine learning.

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ISSN: 1755-8794

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