Functional clustering of time series gene expression data by Granger causality

BMC Systems Biology

Table 1 Frequency of the selected number of clusters for each scenario and time series length

Time series length/Number of clusters	1	2	3	4	6	5	silhouette width
Scenario 1
50	0	0	48	700	252	0	0.502 (0.098)
75	0	0	1	785	214	0	0.582 (0.054)
100	0	0	3	805	192	0	0.610 (0.042)
200	0	0	4	825	171	0	0.641 (0.034)
Scenario 2
50	0	0	65	713	222	0	0.479 (0.112)
75	0	0	28	760	212	0	0.555 (0.071)
100	0	0	9	834	157	0	0.587 (0.050)
200	0	0	3	883	114	0	0.621 (0.029)
Scenario 3
50	0	0	63	666	271	0	0.461 (0.123)
75	0	0	18	784	198	0	0.552 (0.078)
100	0	0	8	851	141	0	0.586 (0.050)
200	0	0	6	883	111	0	0.618 (0.031)
Scenario 4
50	0	0	53	686	261	0	0.465 (0.110)
75	0	0	17	786	197	0	0.551 (0.075)
100	0	0	11	815	174	0	0.581 (0.055)
200	0	0	6	887	107	0	0.619 (0.033)

In bold are the correct number of clusters. Between brackets is one standard deviation for the silhouette width calculated in the breakpoint. For each scenario and each time series length, the number of repetitions was set to 1,000.

ISSN: 1752-0509