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:

F1Genotype:Pla2g10+/+ | Treatment:High fat diet | Co-housing:co-housed | Sample source:Colon
F2Genotype:Pla2g10-/- | Treatment:High fat diet | Co-housing:co-housed | Sample source:Colon
F3Genotype:Pla2g10+/+ | Treatment:High fat diet | Co-housing:- | Sample source:Colon
F4Genotype:Pla2g10-/- | Treatment:High fat diet | Co-housing:- | Sample source:Colon
F5Genotype:Pla2g10+/+ | Treatment:High fat diet+SCFA | Co-housing:- | Sample source:Colon
F6Genotype:Pla2g10-/- | Treatment:High fat diet+SCFA | Co-housing:- | Sample source:Colon
F7Genotype:Pla2g10+/+ | Treatment:Low fat diet | Co-housing:co-housed | Sample source:Colon
F8Genotype:Pla2g10-/- | Treatment:Low fat diet | Co-housing:co-housed | Sample source:Colon
F9Genotype:Pla2g10+/+ | Treatment:Low fat diet | Co-housing:- | Sample source:Colon
F10Genotype:Pla2g10-/- | Treatment:Low fat diet | Co-housing:- | Sample source:Colon
Data matrix
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