Clustering data with hclust algorithm for (Study ST000598)

(Analysis AN000916)
MetaboliteStructureF1F2
10-NitrooleateME1710730.771.23
12(13)-EpODEME1710610.701.26
9,10-DiHOMEME1710501.050.94
PGF2aME1710471.040.95
TXB2ME1710451.010.99
11-HETEME1710631.030.97
5-KETEME1710691.030.97
14-HDoHEME1710620.931.06
8(9)-EpETrEME1710710.981.02
12-HETEME1710640.981.02
14(15)-EpETrEME1710680.981.02
5-HETEME1710660.991.01
13-HODEME1710570.991.01
14,15-DiHETrEME1710520.991.01
12-HEPEME1710560.951.05
11,12-DiHETrEME1710530.961.04
8-HETEME1710650.961.04
11(12)-EpETrEME1710700.971.03
19,20-DiHDoPAME1710510.971.03
9,12,13-TriHOMEME1710460.931.21
15(16)-EpODEME1710590.901.10
9-HODEME1710580.891.11
17-HDoHEME1710600.861.14
13-HOTEME1710550.851.12
9-HOTEME1710540.831.12
12(13)-EpOMEME1710671.310.85
PGD2ME1710491.100.90
PGE2ME1710481.100.90
6-keto PGF1aME1710441.130.87
9,10-EpOME1710721.150.85

Factors:

F1Treatment:E (vehicle control)
F2Treatment:T (treated with TPhP)
Data matrix
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