Clustering data with hclust algorithm for (Study ST002468)

(Analysis AN004024)
MetaboliteStructureF1F2F3F4F5F6F7
SM(d18:1/23:0)ME5829680.891.130.889.550.781.651.01
SM(42:3)ME5829690.892.450.733.120.931.580.96
ChoE (20:5)ME5829631.270.920.530.120.674.510.91
ChoE (22:5)ME5829651.300.220.690.150.713.151.15
PE(34:1)ME5829670.712.310.780.481.190.621.12
ChoE (18:3)ME5829601.390.830.581.521.081.111.08
ChoE (20:2)ME5829612.390.490.620.400.581.960.69
ChoE (22:4)ME5829641.980.120.470.100.781.471.20
ChoE (20:4)ME5829621.341.450.620.150.872.061.01
ChoE (22:6)ME5829661.480.560.730.290.842.140.95
TG(54:1)ME5829701.190.251.180.390.741.081.10
ChoE (18:1)ME5829581.650.570.560.281.070.901.06
ChoE (16:0)ME5829571.210.880.780.511.001.091.12
ChoE (18:2)ME5829591.431.230.560.190.901.171.24

Factors:

F1Gender:F | Group:AD
F2Gender:F | Group:CRC
F3Gender:F | Group:CTL
F4Gender:- | Group:CTL
F5Gender:M | Group:AD
F6Gender:M | Group:CRC
F7Gender:M | Group:CTL
Data matrix
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