A method to identify differential expression profiles of time-course gene data with Fourier transformation

BMC Bioinformatics

Table 3 Silhouette values for model-based clustering with Fourier coefficients of yeast data

Number. of Fourier coeff	Number of clusters without-screening	Number of clusters with screening	No. of sig. genes	Without-screening		Screening
Number. of Fourier coeff	Number of clusters without-screening	Number of clusters with screening	No. of sig. genes	Med sil	Avg. sil	Med sil	Avg. sil
J = 2	5	4	1715	.160	.112	.451	.388
J = 3	5	4	1735	.204	.146	.505	.426
J = 4	5	4	2227	.174	.119	.552	.485
J = 5	5	4	2792	.029	.015	.048	.028
J = 6	5	4	3071	.196	.119	.041	.043
J = 8	5	4	3050	.136	.055	.032	.024
J = 10	5	4	3142	.153	.092	.031	.010

Median and average silhouette values for model-based clustering with Fourier coefficients using Euclidean distance with screening vs. without screening.

ISSN: 1471-2105