Clustering data with heatmap algorithm for (Study ST003261)

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:10 µM Comp. 1 | time point:2 h
F2	Treatment:10 µM Comp. 2 | time point:2 h
F3	Treatment:10 µM Comp. 3 | time point:2 h
F4	Treatment:10 µM RSL3 | time point:24 h
F5	Treatment:10 µM RSL3 | time point:2 h
F6	Treatment:10 µM RSL3 | time point:4 h
F7	Treatment:10 µM RSL3 | time point:6 h
F8	Treatment:1 µM Comp. 1 | time point:2 h
F9	Treatment:1 µM Comp. 2 | time point:2 h
F10	Treatment:1 µM Comp. 3 | time point:2 h
F11	Treatment:1 µM RSL3 + 3 µM Ferrostatin | time point:2 h
F12	Treatment:1 µM RSL3 | time point:24 h
F13	Treatment:1 µM RSL3 | time point:2 h
F14	Treatment:1 µM RSL3 | time point:4 h
F15	Treatment:1 µM RSL3 | time point:6 h
F16	Treatment:3 µM Comp. 1 | time point:2 h
F17	Treatment:3 µM Comp. 2 | time point:2 h
F18	Treatment:3 µM Comp. 3 | time point:2 h
F19	Treatment:DMSO | time point:24 h
F20	Treatment:DMSO | time point:2 h
F21	Treatment:DMSO | time point:4 h
F22	Treatment:DMSO | time point:6 h

Data matrix