Clustering data with heatmap algorithm for (Study ST003763)

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:Pancreas | source:MiaPaCa2 cells | group1:siFADS2 | batch:1
F2Sample source:Pancreas | source:MiaPaCa2 cells | group1:siNEG | batch:1
F3Sample source:Pancreas | source:MiaPaCa2 cells | group1:siSCD | batch:1
F4Sample source:Pancreas | source:Panc1 cells | group1:siFADS2 | batch:1
F5Sample source:Pancreas | source:Panc1 cells | group1:siFADS2 | batch:2
F6Sample source:Pancreas | source:Panc1 cells | group1:siNEG | batch:1
F7Sample source:Pancreas | source:Panc1 cells | group1:siNEG | batch:2
F8Sample source:Pancreas | source:Panc1 cells | group1:siSCD | batch:1
F9Sample source:Pancreas | source:Panc1 cells | group1:siSCD | batch:2
F10Sample source:- | source:Blank | group1:Blank | batch:1
F11Sample source:- | source:Blank | group1:Blank | batch:2
F12Sample source:- | source:FAMEs | group1:FAMEs | batch:1
F13Sample source:- | source:pooled QC | group1:iQC | batch:1
Data matrix
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