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Clustering data with heatmap algorithm for (Study ST002563)

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:PMM2-CDG \| Treatment:5.5mM 12C Glc negative siRNA
F2	Genotype:PMM2-CDG \| Treatment:5.5mM 12C Glc negative siRNA
F3	Genotype:PMM2-CDG \| Treatment:5.5mM 12C Glc siRNA
F4	Genotype:PMM2-CDG \| Treatment:5.5mM 12C Glc siRNA
F5	Genotype:PMM2-CDG \| Treatment:5.5mM 13C Glc negative siRNA
F6	Genotype:PMM2-CDG \| Treatment:5.5mM 13C Glc negative siRNA
F7	Genotype:PMM2-CDG \| Treatment:5.5mM 13C Glc siRNA
F8	Genotype:PMM2-CDG \| Treatment:5.5mM 13C Glc siRNA
F9	Genotype:WT \| Treatment:5.5mM 12C Glc negative siRNA
F10	Genotype:WT \| Treatment:5.5mM 12C Glc negative siRNA
F11	Genotype:WT \| Treatment:5.5mM 12C Glc siRNA
F12	Genotype:WT \| Treatment:5.5mM 12C Glc siRNA
F13	Genotype:WT \| Treatment:5.5mM 13C Glc negative siRNA
F14	Genotype:WT \| Treatment:5.5mM 13C Glc negative siRNA
F15	Genotype:WT \| Treatment:5.5mM 13C Glc siRNA
F16	Genotype:WT \| Treatment:5.5mM 13C Glc siRNA

Data matrix