Clustering data with heatmap algorithm for (Study ST003395)

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	Genotype:Pla2g10+/+ | Treatment:High fat diet | Sample source:Feces
F2	Genotype:Pla2g10-/- | Treatment:High fat diet | Sample source:Feces
F3	Genotype:Pla2g10+/+ | Treatment:High fat diet | Sample source:Plasma
F4	Genotype:Pla2g10-/- | Treatment:High fat diet | Sample source:Plasma
F5	Genotype:Pla2g10+/+ | Treatment:Lard-rich diet | Sample source:Feces
F6	Genotype:Pla2g10-/- | Treatment:Lard-rich diet | Sample source:Feces
F7	Genotype:Pla2g10+/+ | Treatment:Low fat diet | Sample source:Feces
F8	Genotype:Pla2g10-/- | Treatment:Low fat diet | Sample source:Feces
F9	Genotype:Pla2g10+/+ | Treatment:Low fat diet | Sample source:Plasma
F10	Genotype:Pla2g10-/- | Treatment:Low fat diet | Sample source:Plasma
F11	Genotype:Pla2g10+/+ | Treatment:w3-rich diet | Sample source:Feces
F12	Genotype:Pla2g10-/- | Treatment:w3-rich diet | Sample source:Feces

Data matrix