Metabolomics Workbench : NIH Data Repository

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Clustering data with heatmap algorithm for (Study ST002695)

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:

F1	Group:Control \| Timepoint:8 weeks of training or control time \| Sex:Female \| Tissue:Rat Vena Cava Powder
F2	Group:Control \| Timepoint:8 weeks of training or control time \| Sex:Male \| Tissue:Rat Vena Cava Powder
F3	Group:QC-DriftCorrection \| Timepoint:0 hour \| Sex:- \| Tissue:-
F4	Group:QC-Pooled \| Timepoint:0 hour \| Sex:- \| Tissue:-
F5	Group:QC-Reference \| Timepoint:0 hour \| Sex:- \| Tissue:-
F6	Group:Training \| Timepoint:4 weeks of training \| Sex:Female \| Tissue:Rat Vena Cava Powder
F7	Group:Training \| Timepoint:4 weeks of training \| Sex:Male \| Tissue:Rat Vena Cava Powder
F8	Group:Training \| Timepoint:8 weeks of training or control time \| Sex:Female \| Tissue:Rat Vena Cava Powder
F9	Group:Training \| Timepoint:8 weeks of training or control time \| Sex:Male \| Tissue:Rat Vena Cava Powder

Data matrix