Clustering data with heatmap algorithm for (Study ST002708)

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:AM 4V_ChP (FB extraction)
F2	Diurnal_Cycle:AM 4V_ChP (MetOH extraction)
F3	Diurnal_Cycle:AM LV_ChP (FB extraction)
F4	Diurnal_Cycle:AM LV_ChP (MetOH extraction)
F5	Diurnal_Cycle:PM 4V_ChP (FB extraction)
F6	Diurnal_Cycle:PM 4V_ChP (MetOH extraction)
F7	Diurnal_Cycle:PM LV_ChP (FB extraction)
F8	Diurnal_Cycle:PM LV_ChP (MetOH extraction)
F9	Diurnal_Cycle:pool FB 01x_A
F10	Diurnal_Cycle:pool FB 01x_B
F11	Diurnal_Cycle:pool FB 03x
F12	Diurnal_Cycle:pool FB 1x
F13	Diurnal_Cycle:pool FB 1x_A
F14	Diurnal_Cycle:pool FB 1x_B
F15	Diurnal_Cycle:pool FB 1x_C
F16	Diurnal_Cycle:pool FB 1x_D
F17	Diurnal_Cycle:pool MetOH 01x_A
F18	Diurnal_Cycle:pool MetOH 01x_B
F19	Diurnal_Cycle:pool MetOH 03x
F20	Diurnal_Cycle:pool MetOH 1x_A
F21	Diurnal_Cycle:pool MetOH 1x_B
F22	Diurnal_Cycle:pool MetOH 1x_C
F23	Diurnal_Cycle:pool MetOH 1x_D
F24	Diurnal_Cycle:pool MetOH 1x_E

Data matrix