Clustering data with heatmap algorithm for (Study ST003127)

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 | Genotype:CHCHD10 S55L Het | Treatment:Control Diet | Sex:F | Age:75
F2Sample source:Heart | Genotype:CHCHD10 S55L Het | Treatment:Control Diet | Sex:M | Age:75
F3Sample source:Heart | Genotype:CHCHD10 S55L Het | Treatment:Control Diet | Sex:N/A | Age:75
F4Sample source:Heart | Genotype:CHCHD10 S55L Het | Treatment:High Fat Diet | Sex:F | Age:75
F5Sample source:Heart | Genotype:CHCHD10 S55L Het | Treatment:High Fat Diet | Sex:M | Age:75
F6Sample source:Heart | Genotype:CHCHD10 S55L Het | Treatment:High Fat Diet | Sex:N/A | Age:75
F7Sample source:Heart | Genotype:WT | Treatment:Control Diet | Sex:F | Age:75
F8Sample source:Heart | Genotype:WT | Treatment:Control Diet | Sex:M | Age:75
F9Sample source:Heart | Genotype:WT | Treatment:Control Diet | Sex:N/A | Age:75
F10Sample source:Heart | Genotype:WT | Treatment:High Fat Diet | Sex:F | Age:75
F11Sample source:Heart | Genotype:WT | Treatment:High Fat Diet | Sex:M | Age:75
F12Sample source:Heart | Genotype:WT | Treatment:High Fat Diet | Sex:N/A | Age:75
Data matrix
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