Rule-Based Knowledge Acquisition Method for Promoter Prediction in Human and Drosophila Species

Table 7

The rule-based knowledge of promoter prediction in human and Drosophila species.

Species	Rule-based knowledge			CF	Rules	Accuracy
(Human)
R1-p:	If 𝐷𝐷 (A, 1st) > 0.0177542	Then	Promoter	0.928	1	50.0%
R2-n:	If 𝐷𝐷 (A, 1st) ≤ 0.0177542	Then	Non-promoter	0.999	1-2	96.2%
R3-n:	If 𝐷MW > 0.284657 and; 𝐷𝐷 (A, 1st) ≤ 0.0950018 and; 𝐷𝐷 (C, 100%) ≤ 0.929016	Then	Non-promoter	0.985	1–3	99.5%
R4-n:	If 𝐷C4 (GCTC) > 0.0634629 and; 𝐷MW > 0.284657 and; 𝐷𝐷 (A, 1st) ≤ 0.0950018	Then	Non-promoter	0.974
(Drosophila)
R1-p:	If 𝐷MW ≤ 0.280113 and 𝐷AM > 0.27604	Then	Promoter	0.997	1	50.0%
R2-n:	If 𝐷AM ≤ 0.27604	Then	Non-promoter	0.999	1-2	84.7%
R3-n:	If 𝐷MW > 0.280113	Then	Non-promoter	0.997