Clustering data with heatmap algorithm for (Study ST003883)

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	Sample source:Lung | Age:Old | Genotype:PolG
F2	Sample source:Lung | Age:Old | Genotype:Wt
F3	Sample source:Lung | Age:Old | Genotype:WT
F4	Sample source:Lung | Age:Young | Genotype:PolG
F5	Sample source:Lung | Age:Young | Genotype:WT
F6	Sample source:Plasma | Age:Old | Genotype:KP
F7	Sample source:Plasma | Age:Old | Genotype:PGKP
F8	Sample source:Plasma | Age:Old | Genotype:PolG
F9	Sample source:Plasma | Age:Old | Genotype:WT
F10	Sample source:Plasma | Age:Young | Genotype:KP
F11	Sample source:Plasma | Age:Young | Genotype:PGKP
F12	Sample source:Plasma | Age:Young | Genotype:PolG
F13	Sample source:Plasma | Age:Young | Genotype:WT
F14	Sample source:Tumor | Age:Old | Genotype:KP
F15	Sample source:Tumor | Age:Old | Genotype:PGKP
F16	Sample source:Tumor | Age:Young | Genotype:KP
F17	Sample source:Tumor | Age:Young | Genotype:PGKP

Data matrix