Clustering data with heatmap algorithm for (Study ST003222)

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:Heart | Age:Aged | Genotype:WT | Treatment:I/R
F2Sample source:Heart | Age:Aged | Genotype:WT | Treatment:I/R+MIF20
F3Sample source:Heart | Age:Aged | Genotype:WT | Treatment:Sham
F4Sample source:Heart | Age:Aged | Genotype:WT | Treatment:Sham+MIF20
F5Sample source:Heart | Age:NA | Genotype:KO-MIF | Treatment:I/R
F6Sample source:Heart | Age:NA | Genotype:KO-MIF | Treatment:I/R+MIF20
F7Sample source:Heart | Age:NA | Genotype:KO-MIF | Treatment:Sham
F8Sample source:Heart | Age:NA | Genotype:KO-MIF | Treatment:Sham+MIF20
F9Sample source:Heart | Age:NA | Genotype:MIF | Treatment:I/R
F10Sample source:Heart | Age:NA | Genotype:MIF | Treatment:I/R+MIF20
F11Sample source:Heart | Age:NA | Genotype:MIF | Treatment:Sham
F12Sample source:Heart | Age:NA | Genotype:MIF | Treatment:Sham+MIF20
F13Sample source:Heart | Age:young | Genotype:WT | Treatment:I/R
F14Sample source:Heart | Age:young | Genotype:WT | Treatment:I/R+MIF20
F15Sample source:Heart | Age:young | Genotype:WT | Treatment:Sham
F16Sample source:Heart | Age:young | Genotype:WT | Treatment:Sham+MIF20
Data matrix
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