Clustering data with heatmap algorithm for (Study ST000770)

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:

F1Adiposity:Lean | Condition:Oxytocin | Timepoint:T0 | Visit:MV1
F2Adiposity:Lean | Condition:Oxytocin | Timepoint:T55 | Visit:MV1
F3Adiposity:Lean | Condition:Placebo | Timepoint:T0 | Visit:MV2
F4Adiposity:Lean | Condition:Placebo | Timepoint:T55 | Visit:MV2
F5Adiposity:Obese | Condition:Oxytocin | Timepoint:T0 | Visit:MV1
F6Adiposity:Obese | Condition:Oxytocin | Timepoint:T55 | Visit:MV1
F7Adiposity:Obese | Condition:Placebo | Timepoint:T0 | Visit:MV2
F8Adiposity:Obese | Condition:Placebo | Timepoint:T55 | Visit:MV2
Data matrix
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