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:

F1	Age:Aged | Genotype:WT | Treatment:I/R
F2	Age:Aged | Genotype:WT | Treatment:I/R+MIF20
F3	Age:Aged | Genotype:WT | Treatment:Sham
F4	Age:Aged | Genotype:WT | Treatment:Sham+MIF20
F5	Age:NA | Genotype:KO-MIF | Treatment:I/R
F6	Age:NA | Genotype:KO-MIF | Treatment:I/R+MIF20
F7	Age:NA | Genotype:KO-MIF | Treatment:Sham
F8	Age:NA | Genotype:KO-MIF | Treatment:Sham+MIF20
F9	Age:NA | Genotype:MIF | Treatment:I/R
F10	Age:NA | Genotype:MIF | Treatment:I/R+MIF20
F11	Age:NA | Genotype:MIF | Treatment:Sham
F12	Age:NA | Genotype:MIF | Treatment:Sham+MIF20
F13	Age:young | Genotype:WT | Treatment:I/R
F14	Age:young | Genotype:WT | Treatment:I/R+MIF20
F15	Age:young | Genotype:WT | Treatment:Sham
F16	Age:young | Genotype:WT | Treatment:Sham+MIF20

Data matrix