Clustering data with heatmap algorithm for (Study ST002286)

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:CSF10 PolyIC
F2Factor:CSF2 PolyIC
F3Factor:CSF3 saline
F4Factor:CSF4 PolyIC
F5Factor:CSF5 saline
F6Factor:CSF6 PolyIC
F7Factor:CSF7 saline
F8Factor:CSF8 PolyIC
F9Factor:eC-1
F10Factor:eC-2
F11Factor:eC-3
F12Factor:eC-4
F13Factor:eC-5
F14Factor:eC-6
F15Factor:eC-7
F16Factor:eL-1
F17Factor:eL-10
F18Factor:eL-2
F19Factor:eL-3
F20Factor:eL-4
F21Factor:eL-5
F22Factor:eL-6
F23Factor:eL-7
F24Factor:eL-8
F25Factor:mL-1
F26Factor:mL-10
F27Factor:mL-2
F28Factor:mL-3
F29Factor:mL-4
F30Factor:mL-5
F31Factor:mL-6
F32Factor:mL-7
F33Factor:mL-8
F34Factor:mock 1
F35Factor:mock 2
F36Factor:mock 3
F37Factor:mock 5
F38Factor:mock 6
F39Factor:mock 7
F40Factor:mSer1
F41Factor:mSer10
F42Factor:mSer2
F43Factor:mSer3
F44Factor:mSer4
F45Factor:mSer5
F46Factor:mSer6
F47Factor:mSer7
F48Factor:mSer8
Data matrix
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