Clustering data with heatmap algorithm for (Study ST003375)

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:NA | Treatment:Extraction Buffer + internal standards
F2	Sample source:Pool 1-78 1 25 | Treatment:Pool 1-78 1 25
F3	Sample source:Pool 1-78 1 4 | Treatment:Pool 1-78 1 4
F4	Sample source:Pool 1-78 1 8 | Treatment:Pool 1-78 1 8
F5	Sample source:Pool 1-78 | Treatment:Pool 1-78
F6	Sample source:Pool 79-107 1 2 | Treatment:Pool 79-107 1 2
F7	Sample source:Pool 79-107 1 4 | Treatment:Pool 79-107 1 4
F8	Sample source:Pool 79-107 1 8 | Treatment:Pool 79-107 1 8
F9	Sample source:Pool 79-107 | Treatment:Pool 79-107
F10	Sample source:Whole Liver | Treatment:High Fat Diet
F11	Sample source:Whole Liver | Treatment:High Fat Diet + 1.5% 2(3)‐tert‐butyl‐4 hydroxyanisole
F12	Sample source:Whole Liver | Treatment:Normal Chow Diet

Data matrix