Clustering data with heatmap algorithm for (Study ST002587)

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	Treatment:Alanine 18h and C13 Glutamine 60min
F2	Treatment:Alanine 18h and Glutamine 60min
F3	Treatment:C13 Glucose 30min
F4	Treatment:C13 Glutamine 60min
F5	Treatment:Glucose 30min
F6	Treatment:Glutamine 60min
F7	Treatment:SMACA2 restoration + C13 Glucose 30min
F8	Treatment:SMACA2 restoration + C13 Glutamine 60min
F9	Treatment:SMACA2 restoration + Glucose 30min
F10	Treatment:SMACA2 restoration + Glutamine 60min
F11	Treatment:SMACA4 and A2 restoration + C13 Glucose 30min
F12	Treatment:SMACA4 and A2 restoration + C13 Glutamine 60min
F13	Treatment:SMACA4 and A2 restoration + Glucose 30min
F14	Treatment:SMACA4 and A2 restoration + Glutamine 60min
F15	Treatment:SMACA4 restoration + C13 Glucose 30min
F16	Treatment:SMACA4 restoration + C13 Glutamine 60min
F17	Treatment:SMACA4 restoration + Glucose 30min
F18	Treatment:SMACA4 restoration + Glutamine 60min

Data matrix