Clustering data with heatmap algorithm for (Study ST003982)

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:

F1Sample source:Liver | Treatment condition:CLP | Tracer condition:13C pyruvate
F2Sample source:Liver | Treatment condition:CLP | Tracer condition:PBS
F3Sample source:Liver | Treatment condition:Sham | Tracer condition:13C pyruvate
F4Sample source:Liver | Treatment condition:Sham | Tracer condition:PBS
F5Sample source:Plasma | Treatment condition:CLP | Tracer condition:13C pyruvate
F6Sample source:Plasma | Treatment condition:CLP | Tracer condition:PBS
F7Sample source:Plasma | Treatment condition:Sham | Tracer condition:13C pyruvate
F8Sample source:Plasma | Treatment condition:Sham | Tracer condition:PBS
F9Sample source:Skeletal muscle | Treatment condition:CLP | Tracer condition:13C pyruvate
F10Sample source:Skeletal muscle | Treatment condition:CLP | Tracer condition:PBS
F11Sample source:Skeletal muscle | Treatment condition:Sham | Tracer condition:13C pyruvate
F12Sample source:Skeletal muscle | Treatment condition:Sham | Tracer condition:PBS
Data matrix
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