Clustering data with heatmap algorithm for (Study ST003393)

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 | Co-housing:-
F2	Genotype:Pla2g10-/- | Treatment:High fat diet | Co-housing:-
F3	Genotype:Pla2g10+/+ | Treatment:High fat diet | Co-housing:co-housed
F4	Genotype:Pla2g10-/- | Treatment:High fat diet | Co-housing:co-housed
F5	Genotype:Pla2g10+/+ | Treatment:High fat diet+SCFA | Co-housing:-
F6	Genotype:Pla2g10-/- | Treatment:High fat diet+SCFA | Co-housing:-
F7	Genotype:Pla2g10+/+ | Treatment:Low fat diet | Co-housing:-
F8	Genotype:Pla2g10-/- | Treatment:Low fat diet | Co-housing:-
F9	Genotype:Pla2g10+/+ | Treatment:Low fat diet | Co-housing:co-housed
F10	Genotype:Pla2g10-/- | Treatment:Low fat diet | Co-housing:co-housed

Data matrix