Fuzzy association rules for biological data analysis: A case study on yeast

Table 1 Thresholds and total number of rules

Variables	CF & Conf. threshold	Support threshold	Total number of rules	FDR
Structural variables	0.1	0.01	24	0.093
Molecular Function & Structural variables	0.4	0.004	20	0.042
Biological Process & Structural variables	0.5	0.004	7	0.050
Cellular Component & Structural variables	0.5	0.004	12	0.011
Protein abundance & Responsiveness & TATA box	0.1	0.002	15	0.000
Protein abundance & Structural variables	0.1	0.002	4	0.040
Protein abundance & Molecular Function	0.2	0.002	19	0.109
Protein abundance & Biological Process	0.4	0.002	21	0.005
Protein abundance & Cellular Component	0.3	0.002	14	0.011
Responsiveness & Structural variables	0.1	0.002	10	0.044
Responsiveness & Molecular Function	0.3	0.002	23	0.069
Responsiveness & Biological Process	0.6	0.002	19	0.002
Responsiveness & Cellular Component	0.4	0.002	19	0.011
TATA box & Structural variables	0.1	0.002	8	0.098
TATA box & Molecular Function	0.3	0.002	26	0.213
TATA box & Biological Process	0.5	0.002	15	0.131
TATA box & Cellular Component	0.3	0.002	12	0.260
Cho et al. – EDA (grouping 1)	0.4	0.001	23	0.318
Cho et al. – EDA (grouping 2)	0.4	0.001	6	0.115
Cho et al. – G&S SHAVING (grouping 1)	0.6	0.002	45	0.006
Cho et al. – G&S SHAVING (grouping 2)	0.6	0.002	36	0.003
Gasch et al. – EDA (grouping 1)	0.4	0.001	17	0.005
Gasch et al. – EDA (grouping 2)	0.4	0.001	21	0.004
Gasch et al. – G&S SHAVING (grouping 1)	0.6	0.001	56	0.023
Gasch et al. – G&S SHAVING (grouping 2)	0.7	0.001	35	0.019

This table shows the CF, Confidence and Support thresholds set in each experiment as well as the total number of rules and the FDR obtained in each case.