Clustering data with heatmap algorithm for (Study ST002628)

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:Control | Timepoint:8 weeks of training or control time | Sex:Female | Tissue:Rat Plasma
F2Group:Control | Timepoint:8 weeks of training or control time | Sex:Male | Tissue:Rat Plasma
F3Group:QC-DriftCorrection | Timepoint:0 hour | Sex:- | Tissue:-
F4Group:QC-Pooled | Timepoint:0 hour | Sex:- | Tissue:-
F5Group:QC-Reference | Timepoint:0 hour | Sex:- | Tissue:-
F6Group:Training | Timepoint:1 week of training or control time | Sex:Female | Tissue:Rat Plasma
F7Group:Training | Timepoint:1 week of training or control time | Sex:Male | Tissue:Rat Plasma
F8Group:Training | Timepoint:2 weeks of training | Sex:Female | Tissue:Rat Plasma
F9Group:Training | Timepoint:2 weeks of training | Sex:Male | Tissue:Rat Plasma
F10Group:Training | Timepoint:4 weeks of training | Sex:Female | Tissue:Rat Plasma
F11Group:Training | Timepoint:4 weeks of training | Sex:Male | Tissue:Rat Plasma
F12Group:Training | Timepoint:8 weeks of training or control time | Sex:Female | Tissue:Rat Plasma
F13Group:Training | Timepoint:8 weeks of training or control time | Sex:Male | Tissue:Rat Plasma
Data matrix
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