Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach

BMC Bioinformatics

Table 1 Predictive accuracy calculation of the proposed model using different statistical measures

Predicted Sequences	TP	FP	FN	TN	Sn	Sp	Corr.	FPR	FNR	PPV	NPV	PL	NL
Plant Promoter	43	Nil	7	Nil	0.86	0.90	0.761	0.10	0.14	0.89	0.86	8.60	0.15
Plant CDS/Non-Promoter	Nil	5	Nil	45
Drosophila Promoter	48	Nil	2	Nil	0.96	0.92	0.881	0.08	0.04	0.92	0.95	12	0.04
Drosophila CDS/Non-Promoter	Nil	4	Nil	46
Human Promoter	44	Nil	6	Nil	0.88	0.92	0.801	0.08	0.12	0.92	0.88	11	0.13
Human CDS/Non-Promoter	Nil	4	Nil	46
Mouse Promoter	39	Nil	11	Nil	0.78	0.84	0.621	0.16	0.22	0.83	0.79	4.87	0.26
Mouse CDS/Non-Promoter	Nil	8	Nil	42
Rat Promoter	41	Nil	9	Nil	0.82	0.80	0.620	0.20	0.18	0.80	0.81	4.10	0.22
Rat CDS/Non-Promoter	Nil	10	Nil	40

ISSN: 1471-2105