Clustering data with heatmap algorithm for (Study ST002212)

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:

F1Diet_phase:A(Term1) | Timepoint:A1
F2Diet_phase:A(Term1) | Timepoint:A2
F3Diet_phase:A(Term1) | Timepoint:A3
F4Diet_phase:A(Term1) | Timepoint:A4
F5Diet_phase:A(Term1) | Timepoint:A5
F6Diet_phase:A(Term1) | Timepoint:A5-1
F7Diet_phase:A(Term1) | Timepoint:A5-2
F8Diet_phase:A(Term1) | Timepoint:A6
F9Diet_phase:A(Term1) | Timepoint:A7
F10Diet_phase:B(Term2) | Timepoint:B1
F11Diet_phase:B(Term2) | Timepoint:B2
F12Diet_phase:B(Term2) | Timepoint:B3
F13Diet_phase:B(Term2) | Timepoint:B4
F14Diet_phase:B(Term2) | Timepoint:B5
F15Diet_phase:B(Term2) | Timepoint:B6
F16Diet_phase:B(Term2) | Timepoint:B6-1
F17Diet_phase:B(Term2) | Timepoint:B6-2
F18Diet_phase:B(Term2) | Timepoint:B7
F19Diet_phase:C(Term3) | Timepoint:C0
F20Diet_phase:C(Term3) | Timepoint:C1
F21Diet_phase:C(Term3) | Timepoint:C2
F22Diet_phase:C(Term3) | Timepoint:C3
F23Diet_phase:C(Term3) | Timepoint:C3-1
F24Diet_phase:C(Term3) | Timepoint:C3-2
F25Diet_phase:C(Term3) | Timepoint:C4
F26Diet_phase:C(Term3) | Timepoint:C5
F27Diet_phase:C(Term3) | Timepoint:C6
Data matrix
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