Clustering data with heatmap algorithm for (Study ST002488)

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:

F1Factor:aCD25 | Timepoint:1 hr
F2Factor:aCD25 | Timepoint:2 hr
F3Factor:aCD25 | Timepoint:5 min
F4Factor:aCD25 | Timepoint:6 hr
F5Factor:IL2v | Timepoint:1 hr
F6Factor:IL2v | Timepoint:2 hr
F7Factor:IL2v | Timepoint:5 min
F8Factor:IL2v | Timepoint:6 hr
F9Factor:RT+IL2v | Timepoint:1 hr
F10Factor:RT+IL2v | Timepoint:2 hr
F11Factor:RT+IL2v | Timepoint:5 min
F12Factor:RT+IL2v | Timepoint:6 hr
F13Factor:RT | Timepoint:1 hr
F14Factor:RT | Timepoint:2 hr
F15Factor:RT | Timepoint:5 min
F16Factor:RT | Timepoint:6 hr
F17Factor:Untrx | Timepoint:1 hr
F18Factor:Untrx | Timepoint:2 hr
F19Factor:Untrx | Timepoint:5 min
F20Factor:Untrx | Timepoint:6 hr
Data matrix
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