Clustering data with heatmap algorithm for (Study ST001376)

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	Collection Time:Afternoon | TCDD treatment(ug/kg):-
F2	Collection Time:Afternoon | TCDD treatment(ug/kg):0.01
F3	Collection Time:Afternoon | TCDD treatment(ug/kg):0.03
F4	Collection Time:Afternoon | TCDD treatment(ug/kg):0.1
F5	Collection Time:Afternoon | TCDD treatment(ug/kg):0.3
F6	Collection Time:Afternoon | TCDD treatment(ug/kg):1
F7	Collection Time:Afternoon | TCDD treatment(ug/kg):10
F8	Collection Time:Afternoon | TCDD treatment(ug/kg):3
F9	Collection Time:Afternoon | TCDD treatment(ug/kg):30
F10	Collection Time:Morning | TCDD treatment(ug/kg):-
F11	Collection Time:Morning | TCDD treatment(ug/kg):0.01
F12	Collection Time:Morning | TCDD treatment(ug/kg):0.03
F13	Collection Time:Morning | TCDD treatment(ug/kg):0.1
F14	Collection Time:Morning | TCDD treatment(ug/kg):0.3
F15	Collection Time:Morning | TCDD treatment(ug/kg):1
F16	Collection Time:Morning | TCDD treatment(ug/kg):10
F17	Collection Time:Morning | TCDD treatment(ug/kg):3
F18	Collection Time:Morning | TCDD treatment(ug/kg):30

Data matrix