Clustering data with hclust algorithm for (Study ST002339)

(Analysis AN003822)
MetaboliteStructureF1F2F3F4
DHCer 18:0/20:0ME5583491.071.080.391.41
DG 35:2ME5583391.271.880.240.54
doxDHCer 18:0/20:0ME5583530.860.540.651.92
DHCer 18:0/24:0ME5583511.001.330.371.24
DHCer 18:0/24:1ME5583521.051.460.321.12
DHCer 18:0/22:0ME5583500.961.200.341.45
doxDHCer 18:0/22:0ME5583540.810.550.572.04
PC 34:0ME5583090.980.821.290.93
PC 33:0ME5583070.990.771.270.99
doxDHCer 18:0/24:0ME5583550.750.680.601.93
PC 33:1ME5583080.751.480.840.91
PC 34:1ME5583100.821.460.830.88
PE 38:4ME5583050.921.050.971.06
DG 32:1ME5583330.972.480.130.34
PC 36:0ME5583120.590.772.290.46
Cer 18:1/24:1ME5583471.251.470.380.85
PC 37:1ME5583150.761.470.860.90
Cer 18:1/20:0ME5583421.321.020.501.12
DG 33:1ME5583341.411.780.220.53
Cer 18:1/22:0ME5583431.091.220.511.13
PE 32:1ME5582950.472.500.410.56
PE 38:1ME5583030.790.961.041.22
PC(O-34:1)ME5583170.831.270.930.96
PC 38:1ME5583160.691.650.870.78
PE 34:0ME5582960.820.801.420.99
PE 38:3ME5583040.721.021.031.23
PE 36:2ME5583000.790.621.281.33
PE 36:4ME5583020.811.330.890.97
PE 36:3ME5583010.850.791.171.20
PE 34:2ME5582980.610.921.201.29
PE 34:1ME5582970.701.700.760.82
PE 36:1ME5582990.801.340.870.98
PC 36:1ME5583130.741.770.710.76
PC 36:2ME5583140.971.030.961.03
Cer 18:1/18:0ME5583411.370.990.561.04
DG 32:0ME5583321.191.860.320.57
PE 32:0ME5582940.811.241.180.78
Cer 18:1/24:0ME5583461.011.590.370.98
DG 35:1ME5583381.421.600.270.64
Cer 18:1/22:1ME5583441.121.950.250.61
DHCer 18:0/18:0ME5583481.080.930.641.32
DG 34:0ME5583351.081.520.580.79
Cer 18:1/23:0ME5583451.191.450.320.98
DG 34:2ME5583371.671.140.390.75
PC 34:2ME5583110.911.031.001.06
Cer 18:1/16:0ME5583401.331.010.601.02
DG 34:1ME5583361.321.870.230.52

Factors:

F1Group:High fat diet + vehicle
F2Group:Low fat diet + vehicle
F3Group:Serine/glycine-free high fat diet + myriocin
F4Group:Serine/glycine-free high fat diet + vehicle
Data matrix
  logo