Clustering data with heatmap algorithm for (Study ST002707)

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	Diurnal_Cycle:0.2nM T3 standard
F2	Diurnal_Cycle:0.2nM T4 standard
F3	Diurnal_Cycle:0nM T3 standard
F4	Diurnal_Cycle:0nM T4 standard
F5	Diurnal_Cycle:200nM T3 standard
F6	Diurnal_Cycle:200nM T4 standard
F7	Diurnal_Cycle:20nM T3 standard
F8	Diurnal_Cycle:20nM T4 standard
F9	Diurnal_Cycle:20uM T3 standard
F10	Diurnal_Cycle:20uM T4 standard
F11	Diurnal_Cycle:2nM T3 standard
F12	Diurnal_Cycle:2nM T4 standard
F13	Diurnal_Cycle:2uM T3 standard
F14	Diurnal_Cycle:2uM T4 standard
F15	Diurnal_Cycle:AM_CSF (TopPhase)
F16	Diurnal_Cycle:AM_Serum (TopPhase)
F17	Diurnal_Cycle:PM_CSF (TopPhase)
F18	Diurnal_Cycle:PM_Serum (TopPhase)
F19	Diurnal_Cycle:pool CSF RF200-212 01x_A
F20	Diurnal_Cycle:pool CSF RF200-212 01x_B
F21	Diurnal_Cycle:pool CSF RF200-212 03x
F22	Diurnal_Cycle:pool CSF RF200-212 1x_A
F23	Diurnal_Cycle:pool CSF RF200-212 1x_B
F24	Diurnal_Cycle:pool CSF RF200-212 1x_C
F25	Diurnal_Cycle:pool RF159-172 01x_A
F26	Diurnal_Cycle:pool RF159-172 01x_B
F27	Diurnal_Cycle:pool RF159-172 01x_C
F28	Diurnal_Cycle:pool RF159-172 03x_A
F29	Diurnal_Cycle:pool RF159-172 03x_B
F30	Diurnal_Cycle:pool RF159-172 1x_A
F31	Diurnal_Cycle:pool RF159-172 1x_B
F32	Diurnal_Cycle:pool RF159-172 1x_C
F33	Diurnal_Cycle:pool RF176-185 01x_A
F34	Diurnal_Cycle:pool RF176-185 01x_B
F35	Diurnal_Cycle:pool RF176-185 01x_C
F36	Diurnal_Cycle:pool RF176-185 03x_A
F37	Diurnal_Cycle:pool RF176-185 03x_B
F38	Diurnal_Cycle:pool RF176-185 1x_A
F39	Diurnal_Cycle:pool RF176-185 1x_B
F40	Diurnal_Cycle:pool RF176-185 1x_C
F41	Diurnal_Cycle:pool serum RF 216-228 01x_A
F42	Diurnal_Cycle:pool serum RF 216-228 01x_B
F43	Diurnal_Cycle:pool serum RF 216-228 03x
F44	Diurnal_Cycle:pool serum RF 216-228 1x_A
F45	Diurnal_Cycle:pool serum RF 216-228 1x_B
F46	Diurnal_Cycle:pool serum RF 216-228 1x_C

Data matrix