Clustering data with heatmap algorithm for (Study ST003741)

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:Blank | Timepoint:12h | Sample source:Blank
F2	Treatment:Blank | Timepoint:8h | Sample source:Blank
F3	Treatment:non-infected Bilirubin | Timepoint:12h | Sample source:Red blood cells
F4	Treatment:non-infected Bilirubin | Timepoint:8h | Sample source:Red blood cells
F5	Treatment:non-infected DMSO | Timepoint:12h | Sample source:Red blood cells
F6	Treatment:non-infected DMSO | Timepoint:8h | Sample source:Red blood cells
F7	Treatment:Plasmodium falciparum infected Bilirubin | Timepoint:12h | Sample source:Red blood cells
F8	Treatment:Plasmodium falciparum infected Bilirubin | Timepoint:8h | Sample source:Red blood cells
F9	Treatment:Plasmodium falciparum infected DMSO | Timepoint:12h | Sample source:Red blood cells
F10	Treatment:Plasmodium falciparum infected DMSO | Timepoint:8h | Sample source:Red blood cells
F11	Treatment:pooled QC | Timepoint:pooled QC | Sample source:pooled QC

Data matrix