Clustering data with heatmap algorithm for (Study ST003320)

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:DMSO | time [hours]:0.17h
F2	treatment:DMSO | time [hours]:1h
F3	treatment:DMSO | time [hours]:24h
F4	treatment:DMSO | time [hours]:48h
F5	treatment:DMSO | time [hours]:6h
F6	treatment:Soraphen | time [hours]:0.17h
F7	treatment:Soraphen | time [hours]:1h
F8	treatment:Soraphen | time [hours]:24h
F9	treatment:Soraphen | time [hours]:48h
F10	treatment:Soraphen | time [hours]:6h
F11	treatment:TOFA | time [hours]:0.17h
F12	treatment:TOFA | time [hours]:1h
F13	treatment:TOFA | time [hours]:24h
F14	treatment:TOFA | time [hours]:48h
F15	treatment:TOFA | time [hours]:6h
F16	treatment:w/o | time [hours]:24h
F17	treatment:w/o | time [hours]:48h

Data matrix