Clustering data with heatmap algorithm for (Study ST004233)

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:

F1Sample source:infected RBC (iRBC) | Parasite_type:Dd2 AD7 | Parasite_line:Dd2∆ARG C1 | Timepoint:10 h
F2Sample source:infected RBC (iRBC) | Parasite_type:Dd2 OD12 | Parasite_line:Dd2∆OAT C1 | Timepoint:10 h
F3Sample source:infected RBC (iRBC) | Parasite_type:Dd2 WT | Parasite_line:Dd2 | Timepoint:10 h
F4Sample source:infected RBC (iRBC) | Parasite_type:Dd2 WT | Parasite_line:Dd2 | Timepoint:10h
F5Sample source:uninfected RBC (uRBC) | Parasite_type:Control | Parasite_line:Control RBCs | Timepoint:0 h
F6Sample source:uninfected RBC (uRBC) | Parasite_type:Control | Parasite_line:Control RBCs | Timepoint:10 h
F7Sample source:uninfected RBC (uRBC) | Parasite_type:Control | Parasite_line:Control RBCs | Timepoint:10h
Data matrix
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