Clustering data with heatmap algorithm for Differences in metabolism in mouse embryonic fibroblasts (control vs SCF-beta-TrCP knockout) (Study ST000701)

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:Control | Sample type:Fibroblasts
F2GENOTYPE:Control | Sample type:Fresh media
F3GENOTYPE:Control | Sample type:Spent media
F4GENOTYPE:Knockout | Sample type:Fibroblasts
F5GENOTYPE:Knockout | Sample type:Spent media
F6GENOTYPE:Pooled | Sample type:Fibroblasts
F7GENOTYPE:Pooled | Sample type:Spent media
Data matrix
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