Clustering data with heatmap algorithm for (Study ST001815)

This analysis uses the 'heatmap.2' function of gplots package in the R statistics environment

The rows are scaled to have mean=0 and standard deviation=1

Factors:

F1	Subject:10 | Timepoint:-
F2	Subject:10 | Timepoint:3
F3	Subject:11 | Timepoint:-
F4	Subject:11 | Timepoint:3
F5	Subject:12 | Timepoint:-
F6	Subject:12 | Timepoint:3
F7	Subject:14 | Timepoint:-
F8	Subject:14 | Timepoint:3
F9	Subject:20 | Timepoint:-
F10	Subject:20 | Timepoint:3
F11	Subject:22 | Timepoint:-
F12	Subject:22 | Timepoint:3
F13	Subject:24 | Timepoint:-
F14	Subject:24 | Timepoint:3
F15	Subject:25 | Timepoint:-
F16	Subject:25 | Timepoint:3
F17	Subject:29 | Timepoint:-
F18	Subject:29 | Timepoint:3
F19	Subject:2 | Timepoint:-
F20	Subject:2 | Timepoint:3
F21	Subject:30 | Timepoint:-
F22	Subject:30 | Timepoint:3
F23	Subject:35 | Timepoint:-
F24	Subject:35 | Timepoint:3
F25	Subject:36 | Timepoint:-
F26	Subject:36 | Timepoint:3
F27	Subject:37 | Timepoint:-
F28	Subject:37 | Timepoint:3
F29	Subject:38 | Timepoint:-
F30	Subject:38 | Timepoint:3
F31	Subject:40 | Timepoint:-
F32	Subject:40 | Timepoint:3
F33	Subject:45 | Timepoint:-
F34	Subject:45 | Timepoint:3
F35	Subject:49 | Timepoint:-
F36	Subject:49 | Timepoint:3
F37	Subject:50 | Timepoint:-
F38	Subject:50 | Timepoint:3
F39	Subject:51 | Timepoint:-
F40	Subject:51 | Timepoint:3
F41	Subject:58 | Timepoint:-
F42	Subject:58 | Timepoint:3
F43	Subject:59 | Timepoint:-
F44	Subject:59 | Timepoint:3
F45	Subject:60 | Timepoint:-
F46	Subject:60 | Timepoint:3
F47	Subject:61 | Timepoint:-
F48	Subject:61 | Timepoint:3
F49	Subject:62 | Timepoint:-
F50	Subject:62 | Timepoint:3
F51	Subject:63 | Timepoint:-
F52	Subject:64 | Timepoint:-
F53	Subject:64 | Timepoint:3
F54	Subject:66 | Timepoint:-
F55	Subject:66 | Timepoint:3
F56	Subject:8 | Timepoint:-
F57	Subject:8 | Timepoint:3
F58	Subject:9 | Timepoint:-
F59	Subject:9 | Timepoint:3

Data matrix