Clustering data with heatmap algorithm for (Study ST000975)

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:case | TIMEPOINT:BL | REGION:MAK | GENDER:F
F2GROUP:case | TIMEPOINT:BL | REGION:MAK | GENDER:M
F3GROUP:case | TIMEPOINT:BL | REGION:SUN | GENDER:F
F4GROUP:case | TIMEPOINT:BL | REGION:SUN | GENDER:M
F5GROUP:case | TIMEPOINT:M06 | REGION:SUN | GENDER:F
F6GROUP:case | TIMEPOINT:M06 | REGION:SUN | GENDER:M
F7GROUP:case | TIMEPOINT:M18 | REGION:SUN | GENDER:F
F8GROUP:case | TIMEPOINT:M18 | REGION:SUN | GENDER:M
F9GROUP:control | TIMEPOINT:BL | REGION:MAK | GENDER:F
F10GROUP:control | TIMEPOINT:BL | REGION:MAK | GENDER:M
F11GROUP:control | TIMEPOINT:BL | REGION:SUN | GENDER:F
F12GROUP:control | TIMEPOINT:BL | REGION:SUN | GENDER:M
F13GROUP:control | TIMEPOINT:M06 | REGION:SUN | GENDER:F
F14GROUP:control | TIMEPOINT:M06 | REGION:SUN | GENDER:M
F15GROUP:control | TIMEPOINT:M18 | REGION:SUN | GENDER:F
F16GROUP:control | TIMEPOINT:M18 | REGION:SUN | GENDER:M
Data matrix
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