Clustering data with hclust algorithm for (Study ST002992)

(Analysis AN004912)
MetaboliteStructureF1F2F3F4F5F6
serine_C0ME7755671.770.811.520.670.490.74
GSSG_C0ME7755710.411.091.081.660.281.48
IMP_C0ME7755690.830.991.181.110.711.18
glycine_C0ME7755650.880.741.211.030.791.37
GSH_Ellmans_C0ME7755740.730.741.271.150.621.50
serine_C1ME7755680.683.480.200.311.270.06
GSSG_C1ME7755720.622.050.321.581.010.42
GSSG_C2ME7755730.502.020.030.921.790.02
GSH_Ellmans_C1ME7755750.981.180.451.021.820.55
glycine_C1ME7755661.101.420.060.972.410.04
IMP_C1ME7755701.041.230.121.172.310.14

Factors:

F1Treatment:100nM_FA_C13_Glycine
F2Treatment:100nM_FA_C13_Serine
F3Treatment:100nM_FA_Unlabeled
F4Treatment:2000nM_FA_C13_Glycine
F5Treatment:2000nM_FA_C13_Serine
F6Treatment:2000nM_FA_Unlabeled
Data matrix
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