Clustering data with heatmap algorithm for (Study ST004103)

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:Breast cancer cells | Treatment:12 BT combination | Treatment duration:12h
F2	Sample source:Breast cancer cells | Treatment:12 BT control | Treatment duration:12h
F3	Sample source:Breast cancer cells | Treatment:12 BT Q11 | Treatment duration:12h
F4	Sample source:Breast cancer cells | Treatment:12 BT Q13 | Treatment duration:12h
F5	Sample source:Breast cancer cells | Treatment:12 MDA combination | Treatment duration:12h
F6	Sample source:Breast cancer cells | Treatment:12 MDA control | Treatment duration:12h
F7	Sample source:Breast cancer cells | Treatment:12 MDA Control | Treatment duration:12h
F8	Sample source:Breast cancer cells | Treatment:12 MDA Q11 | Treatment duration:12h
F9	Sample source:Breast cancer cells | Treatment:12 MDA Q13 | Treatment duration:12h
F10	Sample source:Breast cancer cells | Treatment:48 BT combination | Treatment duration:48h
F11	Sample source:Breast cancer cells | Treatment:48 BT control | Treatment duration:48h
F12	Sample source:Breast cancer cells | Treatment:48 BT Q11 | Treatment duration:48h
F13	Sample source:Breast cancer cells | Treatment:48 BT Q13 | Treatment duration:48h
F14	Sample source:Breast cancer cells | Treatment:48 MDA combination | Treatment duration:48h
F15	Sample source:Breast cancer cells | Treatment:48 MDA control | Treatment duration:48h
F16	Sample source:Breast cancer cells | Treatment:48 MDA Q11 | Treatment duration:48h
F17	Sample source:Breast cancer cells | Treatment:48 MDA Q13 | Treatment duration:48h

Data matrix