Clustering data with heatmap algorithm for (Study ST003981)

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:Liver mitochondria | Treatment condition:CLP | Tracer condition:13C pyruvate
F2	Sample source:Liver mitochondria | Treatment condition:CLP | Tracer condition:Buffer
F3	Sample source:Liver mitochondria | Treatment condition:Sham | Tracer condition:13C pyruvate
F4	Sample source:Liver mitochondria | Treatment condition:Sham | Tracer condition:Buffer
F5	Sample source:mitochondria supernatant | Treatment condition:CLP | Tracer condition:13C pyruvate
F6	Sample source:mitochondria supernatant | Treatment condition:CLP | Tracer condition:Buffer
F7	Sample source:mitochondria supernatant | Treatment condition:Sham | Tracer condition:13C pyruvate
F8	Sample source:mitochondria supernatant | Treatment condition:Sham | Tracer condition:Buffer

Data matrix