Clustering data with heatmap algorithm for Open source discovery of starting points for next generation chemoprotective antimalarial drugs (Biofocus 1) (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