Clustering data with hclust algorithm for (Study ST003764)

(Analysis AN006179)
MetaboliteStructureF1F2F3F4
18:1n-10 CriegeeME9857160.440.402.091.08
18:1n-10 AldehydeME9857170.360.272.241.12
16:1n-10 AldehydeME9857080.540.162.191.12
16:1n-10 CriegeeME9857070.540.192.171.10
18:1n-12 AldehydeME9857200.600.392.300.72
18:1n-12 CriegeeME9857190.420.292.420.88
18:1n-9 AldehydeME9857141.011.240.980.76
18:1n-9 CriegeeME9857131.021.260.970.76
16:1n-9 AldehydeME9857050.831.400.850.92
16:1n-9 CriegeeME9857040.771.520.930.79
16:1n-7 AldehydeME9857021.440.870.760.93
16:1n-7 CriegeeME9857011.420.920.740.91
16:1n-9 PrecursorME9857031.200.820.990.99
16:1n-10 PrecursorME9857061.200.820.990.99
16:1n-7 PrecursorME9857001.200.820.990.99
18:1n-7 AldehydeME9857111.150.810.951.09
18:1n-7 CriegeeME9857101.120.790.981.11
19:0 PrecursorME9857211.000.980.961.07
18:1n-9 PrecursorME9857121.000.981.080.95
18:1n-7 PrecursorME9857091.000.981.080.95
18:1n-10 PrecursorME9857151.000.981.080.95
18:1n-12 PrecursorME9857181.000.981.080.95

Factors:

F1group:MiaPaCa2 cells | group:CON
F2group:MiaPaCa2 cells | group:GEMR
F3group:Panc1 cells | group:CON
F4group:Panc1 cells | group:GEMR
Data matrix
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