Clustering data with heatmap algorithm for (Study ST002490)

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:

F1Patient ID:C04 | Timepoint:Baseline
F2Patient ID:C04 | Timepoint:During
F3Patient ID:C04 | Timepoint:Post
F4Patient ID:C05 | Timepoint:Baseline
F5Patient ID:C05 | Timepoint:During
F6Patient ID:C05 | Timepoint:Post
F7Patient ID:C06 | Timepoint:Baseline
F8Patient ID:C06 | Timepoint:During
F9Patient ID:C06 | Timepoint:Post
F10Patient ID:C08 | Timepoint:Baseline
F11Patient ID:C08 | Timepoint:During
F12Patient ID:C08 | Timepoint:Post
F13Patient ID:C09 | Timepoint:Baseline
F14Patient ID:C09 | Timepoint:During
F15Patient ID:C09 | Timepoint:Post
F16Patient ID:C10 | Timepoint:Baseline
F17Patient ID:C10 | Timepoint:During
F18Patient ID:C10 | Timepoint:Post
F19Patient ID:C11 | Timepoint:Baseline
F20Patient ID:C11 | Timepoint:During
F21Patient ID:C11 | Timepoint:Post
F22Patient ID:C13 | Timepoint:Baseline
F23Patient ID:C13 | Timepoint:During
F24Patient ID:C13 | Timepoint:Post
F25Patient ID:C14 | Timepoint:Baseline
F26Patient ID:C14 | Timepoint:During
F27Patient ID:C14 | Timepoint:Post
F28Patient ID:C15 | Timepoint:Baseline
F29Patient ID:C15 | Timepoint:During
F30Patient ID:C15 | Timepoint:Post
F31Patient ID:C16 | Timepoint:Baseline
F32Patient ID:C16 | Timepoint:During
F33Patient ID:C16 | Timepoint:Post
F34Patient ID:C17 | Timepoint:Baseline
F35Patient ID:C17 | Timepoint:During
Data matrix
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