Clustering data with heatmap algorithm for Metabolomic and lipidomic profiles in response to exogenous insulin and GLP-1 infusions during prolonged fasting (Study ST000107)

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:

F1Treatment:Early ITT Infusion Study | Timepoint:0 mins
F2Treatment:Early ITT Infusion Study | Timepoint:10 mins
F3Treatment:Early ITT Infusion Study | Timepoint:120 mins
F4Treatment:Early ITT Infusion Study | Timepoint:30 mins
F5Treatment:Early ITT Infusion Study | Timepoint:60 mins
F6Treatment:GLP1/Late GTT | Timepoint:0 mins
F7Treatment:GLP1/Late GTT | Timepoint:10 mins
F8Treatment:GLP1/Late GTT | Timepoint:120 mins
F9Treatment:GLP1/Late GTT | Timepoint:30 mins
F10Treatment:GLP1/Late GTT | Timepoint:60 mins
F11Treatment:Late ITT Infusion Study | Timepoint:0 mins
F12Treatment:Late ITT Infusion Study | Timepoint:10 mins
F13Treatment:Late ITT Infusion Study | Timepoint:120 mins
F14Treatment:Late ITT Infusion Study | Timepoint:30 mins
F15Treatment:Late ITT Infusion Study | Timepoint:60 mins
Data matrix
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