Clustering data with heatmap algorithm for A Metabolomic Signature of Glucagon Action in Healthy Individuals with Overweight/Obesity Humans (Study ST001515)

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:

F1Group:High-Dose | TIMEPOINT:-0.5HR
F2Group:High-Dose | TIMEPOINT:+23HR POST INFUSION
F3Group:High-Dose | TIMEPOINT:+47HR POST INFUSION
F4Group:High-Dose | TIMEPOINT:+4HR POST INFUSION
F5Group:High-Dose | TIMEPOINT:+71HR POST INFUSION
F6Group:High-Dose | TIMEPOINT:BASELINE
F7Group:Low-Dose | TIMEPOINT:-0.5HR
F8Group:Low-Dose | TIMEPOINT:+23HR POST INFUSION
F9Group:Low-Dose | TIMEPOINT:+47HR POST INFUSION
F10Group:Low-Dose | TIMEPOINT:+4HR POST INFUSION
F11Group:Low-Dose | TIMEPOINT:+71HR POST INFUSION
F12Group:Low-Dose | TIMEPOINT:BASELINE
F13Group:Placebo | TIMEPOINT:-0.5HR
F14Group:Placebo | TIMEPOINT:+23HR POST INFUSION
F15Group:Placebo | TIMEPOINT:+47HR POST INFUSION
F16Group:Placebo | TIMEPOINT:+4HR POST INFUSION
F17Group:Placebo | TIMEPOINT:+71HR POST INFUSION
F18Group:Placebo | TIMEPOINT:BASELINE
Data matrix
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