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Clustering data with heatmap algorithm for (Study ST003470)

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	Sample source:Amygadala \| Treatment:ABX \| Zeitgeber_time:ZT11
F2	Sample source:Amygadala \| Treatment:ABX \| Zeitgeber_time:ZT17
F3	Sample source:Amygadala \| Treatment:ABX \| Zeitgeber_time:ZT23
F4	Sample source:Amygadala \| Treatment:ABX \| Zeitgeber_time:ZT5
F5	Sample source:Amygadala \| Treatment:CV \| Zeitgeber_time:ZT11
F6	Sample source:Amygadala \| Treatment:CV \| Zeitgeber_time:ZT17
F7	Sample source:Amygadala \| Treatment:CV \| Zeitgeber_time:ZT23
F8	Sample source:Amygadala \| Treatment:CV \| Zeitgeber_time:ZT5
F9	Sample source:Amygadala \| Treatment:GF \| Zeitgeber_time:ZT11
F10	Sample source:Amygadala \| Treatment:GF \| Zeitgeber_time:ZT17
F11	Sample source:Amygadala \| Treatment:GF \| Zeitgeber_time:ZT23
F12	Sample source:Amygadala \| Treatment:GF \| Zeitgeber_time:ZT5

Data matrix