Clustering data with heatmap algorithm for (Study ST002638)

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
F2Group:Control | Timepoint:8 weeks of training or control time | Sex:Male
F3Group:QC-Blank | Timepoint:0 hour | Sex:-
F4Group:QC-DriftCorrection | Timepoint:0 hour | Sex:-
F5Group:QC-Pooled | Timepoint:0 hour | Sex:-
F6Group:QC-ReCAS | Timepoint:0 hour | Sex:-
F7Group:QC-Reference | Timepoint:0 hour | Sex:-
F8Group:Training | Timepoint:1 week of training or control time | Sex:Female
F9Group:Training | Timepoint:1 week of training or control time | Sex:Male
F10Group:Training | Timepoint:2 weeks of training | Sex:Female
F11Group:Training | Timepoint:2 weeks of training | Sex:Male
F12Group:Training | Timepoint:4 weeks of training | Sex:Female
F13Group:Training | Timepoint:4 weeks of training | Sex:Male
F14Group:Training | Timepoint:8 weeks of training or control time | Sex:Female
F15Group:Training | Timepoint:8 weeks of training or control time | Sex:Male
Data matrix
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