Clustering data with heatmap algorithm for (Study ST003566)

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:

F1Factor:Blank | Sample source:blank
F2Factor:Food | Sample source:food
F3Factor:Het 2 hr | Sample source:urine
F4Factor:Het 45 min | Sample source:liver
F5Factor:ISTD | Sample source:standard
F6Factor:Knockout | Sample source:Stool
F7Factor:KO 2 hr | Sample source:urine
F8Factor:KO 45 min | Sample source:liver
F9Factor:No Cys KO | Sample source:liver
F10Factor:No Cys KO | Sample source:urine
F11Factor:No Cys WT | Sample source:liver
F12Factor:No Cys WT | Sample source:urine
F13Factor:Wild Type | Sample source:Stool
Data matrix
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