Clustering data with heatmap algorithm for (Study ST002106)

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	cell_type:iRBC | treatment:3D7 + Compound 3-1
F2	cell_type:iRBC | treatment:3D7 + Compound 3-2
F3	cell_type:iRBC | treatment:3D7 + Compound 3-3
F4	cell_type:iRBC | treatment:3D7 + Glucosamine -1
F5	cell_type:iRBC | treatment:3D7 + Glucosamine -2
F6	cell_type:iRBC | treatment:3D7 + Glucosamine -3
F7	cell_type:iRBC | treatment:DMSO -1
F8	cell_type:iRBC | treatment:DMSO -2
F9	cell_type:iRBC | treatment:DMSO -3
F10	cell_type:iRBC | treatment:PfAM17-HAglmS-1
F11	cell_type:iRBC | treatment:PfAM17-HAglmS-2
F12	cell_type:iRBC | treatment:PfAM17-HAglmS-3
F13	cell_type:iRBC | treatment:PfAM17-HAglmS +Glucosamine -1
F14	cell_type:iRBC | treatment:PfAM17-HAglmS +Glucosamine -2
F15	cell_type:iRBC | treatment:PfAM17-HAglmS +Glucosamine -3

Data matrix