Clustering data with heatmap algorithm for (Study ST002668)

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
F2	Group:Control | Timepoint:8 weeks of training or control time | Sex:Male
F3	Group:QC-DriftCorrection | Timepoint:0 hour | Sex:-
F4	Group:QC-Pooled | Timepoint:0 hour | Sex:-
F5	Group:QC-Reference | Timepoint:0 hour | Sex:-
F6	Group:Training | Timepoint:1 week of training or control time | Sex:Female
F7	Group:Training | Timepoint:1 week of training or control time | Sex:Male
F8	Group:Training | Timepoint:2 weeks of training | Sex:Female
F9	Group:Training | Timepoint:2 weeks of training | Sex:Male
F10	Group:Training | Timepoint:4 weeks of training | Sex:Female
F11	Group:Training | Timepoint:4 weeks of training | Sex:Male
F12	Group:Training | Timepoint:8 weeks of training or control time | Sex:Female
F13	Group:Training | Timepoint:8 weeks of training or control time | Sex:Male

Data matrix