Clustering data with heatmap algorithm for (Study ST001074)

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	Drug:Atovaquone | Treatment conc.:10 nM
F2	Drug:MMV011772 | Treatment conc.:6040 nM
F3	Drug:MMV1010248 | Treatment conc.:18795 nM
F4	Drug:MMV1068987 | Treatment conc.:7931.5 nM
F5	Drug:MMV1319550 | Treatment conc.:9680 nM
F6	Drug:MMV1427995 | Treatment conc.:1389 nM
F7	Drug:MMV1431916 | Treatment conc.:6320 nM
F8	Drug:MMV1432165 | Treatment conc.:1070 nM
F9	Drug:MMV1432711 | Treatment conc.:860 nM
F10	Drug:MMV1449124 | Treatment conc.:482.6 nM
F11	Drug:MMV1451822 | Treatment conc.:560 nM
F12	Drug:MMV1454442 | Treatment conc.:1730 nM
F13	Drug:MMV1490397 | Treatment conc.:1250 nM
F14	Drug:MMV1490405 | Treatment conc.:1130 nM
F15	Drug:None (Control) | Treatment conc.:N/A

Data matrix