Clustering data with heatmap algorithm for (Study ST001985)

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:

F1Factor:20181204-Blank
F2Factor:20181204-MMV693183P-2.4
F3Factor:20181204-MMV693183P-24
F4Factor:20181204-MMV693183P-240
F5Factor:20181204-NDP
F6Factor:20181204-QC183
F7Factor:20181211-Blank
F8Factor:20181211-MMV693183B-2.4
F9Factor:20181211-MMV693183B-24
F10Factor:20181211-MMV693183B-240
F11Factor:20181211-NDB
F12Factor:20181211-QC183
F13Factor:20190426-183B_2.4
F14Factor:20190426-183B_24
F15Factor:20190426-183B_240
F16Factor:20190426-183P_2.4
F17Factor:20190426-183P_24
F18Factor:20190426-183P_240
F19Factor:20190426-Blank
F20Factor:20190426-NDB
F21Factor:20190426-NDP
F22Factor:20190426-QC183
Data matrix
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