Clustering data with heatmap algorithm for (Study ST002063)

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:12 | Treatment:CON | Category:Lipidomics
F2	Time:12 | Treatment:LPS | Category:Lipidomics
F3	Time:16 | Treatment:CON | Category:Lipidomics
F4	Time:16 | Treatment:CON | Category:Metabolomics
F5	Time:16 | Treatment:LPS | Category:Lipidomics
F6	Time:16 | Treatment:LPS | Category:Metabolomics
F7	Time:24 | Treatment:CON | Category:Lipidomics
F8	Time:24 | Treatment:LPS | Category:Lipidomics
F9	Time:48 | Treatment:CON | Category:Lipidomics
F10	Time:48 | Treatment:LPS | Category:Lipidomics
F11	Time:4 | Treatment:CON | Category:Lipidomics
F12	Time:4 | Treatment:LPS | Category:Lipidomics
F13	Time:8 | Treatment:CON | Category:Lipidomics
F14	Time:8 | Treatment:CON | Category:Metabolomics
F15	Time:8 | Treatment:LPS | Category:Lipidomics
F16	Time:8 | Treatment:LPS | Category:Metabolomics
F17	Time:. | Treatment:. | Category:Metabolomics
F18	Time:- | Treatment:CON | Category:Lipidomics
F19	Time:- | Treatment:CON | Category:Metabolomics
F20	Time:- | Treatment:LPS | Category:Lipidomics
F21	Time:- | Treatment:LPS | Category:Metabolomics

Data matrix