Prediction of protein-protein interaction types using association rule based classification

BMC Bioinformatics

Table 9 Representative examples of overlapping association rules

#^a	#^b	Rule description^c	Types^d	Conf^e	Supp^f	Conf^g	Supp^h
52	43	If 84.76 ≤ nAtom < 125.14 AND SCOPClass = 2	ENZ¹ OR nonENZ²	0.408	0.042	0.306	0.032
53	35	If 44.38 ≤ nAtom < 84.76 AND 461.83 ≤ df-ASA < 681.42	ENZ¹ OR nonENZ²	0.396	0.058	0.252	0.037
54	48	If 35.32 ≤ nAA < 43.9 AND 125.14 ≤ nAtom < 165.52	ENZ¹ OR nonENZ²	0.323	0.032	0.376	0.037
55	46	If 84.76 ≤ nAtom < 125.14 AND 681.42 ≤ df-ASA < 901.01	ENZ¹ OR nonENZ²	0.252	0.032	0.336	0.042
56	26	If 3.17 ≤ LCS < 3.6	HET¹ OR HOM²	0.357	0.037	0.337	0.035

Examples of overlapping rule are selected from Tables 6 and 7.
^a# Rule identifier;
^b#: Rule identifier in Tables 6 and 7;
Rule description^c: The body of overlapping rules between the two types;
^dTypes: PPI Type¹ and Type² having overlapping rules in common;
^{e, g}Con f: Confidences of overlapping rules for Type¹ and Type² respectively;
^{f, h}Supp: Supports of overlapping rules for Type¹ and Type² respectively.

ISSN: 1471-2105