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Clustering data with heatmap algorithm for Glycolysis/TCA/Nucleotide_Wt_KO_TimeCourse_LPS (Study ST000209)

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	time course:0h \| Cell type:KO macrophage \| Treatment:untreated
F2	time course:0h \| Cell type:Wt macrophage \| Treatment:untreated
F3	time course:12h \| Cell type:KO macrophage \| Treatment:LPS
F4	time course:12h \| Cell type:Wt macrophage \| Treatment:LPS
F5	time course:18h \| Cell type:KO macrophage \| Treatment:LPS
F6	time course:18h \| Cell type:Wt macrophage \| Treatment:LPS
F7	time course:24h \| Cell type:KO macrophage \| Treatment:LPS
F8	time course:24h \| Cell type:Wt macrophage \| Treatment:LPS
F9	time course:3h \| Cell type:KO macrophage \| Treatment:LPS
F10	time course:3h \| Cell type:Wt macrophage \| Treatment:LPS
F11	time course:6h \| Cell type:KO macrophage \| Treatment:LPS
F12	time course:6h \| Cell type:Wt macrophage \| Treatment:LPS

Data matrix