Clustering data with heatmap algorithm for (Study ST002878)

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:Akita | U13C Glucose Labelling Timepoint:0 minutes
F2Genotype:Akita | U13C Glucose Labelling Timepoint:1 hour
F3Genotype:Akita | U13C Glucose Labelling Timepoint:2 hours
F4Genotype:Akita | U13C Glucose Labelling Timepoint:30 minutes
F5Genotype:Akita | U13C Glucose Labelling Timepoint:3 hours
F6Genotype:Akita | U13C Glucose Labelling Timepoint:4 hours
F7Genotype:Wild Type | U13C Glucose Labelling Timepoint:0 minutes
F8Genotype:Wild Type | U13C Glucose Labelling Timepoint:1 hour
F9Genotype:Wild Type | U13C Glucose Labelling Timepoint:2 hours
F10Genotype:Wild Type | U13C Glucose Labelling Timepoint:30 minutes
F11Genotype:Wild Type | U13C Glucose Labelling Timepoint:3 hours
F12Genotype:Wild Type | U13C Glucose Labelling Timepoint:4 hours
Data matrix
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