Clustering data with heatmap algorithm for (Study ST004244)

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:del OAT 6491 bulk | Parasite_line:Dd2∆OATAPR2 bulk | Timepoint:10 h
F2Sample source:infected RBC (iRBC) | Parasite_type:del OAT D12 clone A6 | Parasite_line:Dd2∆OATAPR2 clone 2 | Timepoint:10 h
F3Sample source:infected RBC (iRBC) | Parasite_type:del OAT D12 clone B9 | Parasite_line:Dd2∆OATAPR2 clone 1 | Timepoint:10 h
F4Sample source:infected RBC (iRBC) | Parasite_type:del OAT D12 clone F7 | Parasite_line:Dd2∆OATAPR2 clone 3 | Timepoint:10 h
F5Sample source:infected RBC (iRBC) | Parasite_type:del OAT D12 | Parasite_line:Dd2∆OAT C1 | Timepoint:10 h
F6Sample source:uninfected RBC (uRBC) | Parasite_type:uninfected RBCs | Parasite_line:Control RBCs | Timepoint:10 h
Data matrix
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