Preprocessing differential methylation hybridization microarray data

Table 2 Breast cancer T.stat measurement table

(1): p < 0.05		none	sub	edwards	normexp	normexp50
	none	4.879	4.896	4.880	6.010	6.065
	LOESS	6.037	5.786	5.783	5.875	5.923
	composite	6.872	6.410	6.423	6.508	6.598
	control	7.753	6.516	6.738	6.797	6.771
(2): p < 0.04		none	sub	edwards	normexp	normexp50
	none	4.747	4.871	4.855	6.012	5.889
	LOESS	5.725	5.928	5.951	5.579	5.711
	composite	6.565	6.230	6.279	6.426	6.716
	control	7.570	6.371	6.622	6.691	6.959
(3): p < 0.03		none	sub	edwards	normexp	normexp50
	none	4.665	4.766	4.761	5.484	5.758
	LOESS	5.621	5.534	5.544	5.367	5.377
	composite	6.602	6.330	6.305	6.065	6.629
	control	7.110	6.573	6.865	6.730	6.966
(4): p < 0.02		none	sub	edwards	normexp	normexp50
	none	4.237	4.457	4.444	5.488	5.493
	LOESS	5.134	5.184	5.109	4.980	5.063
	composite	6.385	6.049	6.026	5.953	6.335
	control	6.734	6.471	6.673	6.504	6.695
(5): p < 0.01		none	sub	edwards	normexp	normexp50
	none	4.094	4.318	4.304	5.207	5.260
	LOESS	5.063	4.966	4.938	4.651	4.796
	composite	6.252	6.040	6.080	5.566	5.927
	control	6.662	6.484	6.694	6.435	6.398

Each row is for one p-value cutoff point. Within each row, the first column contains a p-value cutoff point; the second column contains a sub-table of 20 numbers corresponding to the T.stat measurement results of 20 preprocessing methods. The underlined bold numbers are the top 3 largest numbers in each sub-table of the second column.

ISSN: 1756-0381