Clustering data with hclust algorithm for (Study ST003769)

(Analysis AN006187)
MetaboliteStructureF1F2F3F4
Cer(d24:0)ME9951783.490.290.130.09
Hex2Cer(d44:2)ME9952190.08NA1.410.83
Cer(d42:2)ME9951950.720.631.271.38
Cer(d41:1)ME9951920.920.561.461.06
Cer(d41:2)ME9951930.940.521.421.12
Hex2Cer(d36:1)ME9952160.560.231.920.95
Hex1Cer(d44:1)ME9952120.330.111.921.33
Hex1Cer(d44:3)ME9952140.340.162.021.48
Hex2Cer(d42:2)ME9952170.330.092.071.51
Hex1Cer(d38:1)ME9952020.770.251.421.45
Hex1Cer(d40:1)ME9952040.560.191.711.53
Hex1Cer(d40:2)ME9952050.590.211.681.52
Hex1Cer(d42:1)ME9952080.580.341.651.43
Hex1Cer(d44:2)ME9952130.520.311.731.44
Hex1Cer(d41:2)ME9952070.380.211.791.61
Hex1Cer(d41:1)ME9952060.460.231.821.49
Hex1Cer(d43:1)ME9952110.450.221.901.42
Hex1Cer(d36:1)ME9952000.490.381.421.71
Cer(d44:2)ME9951970.330.381.611.60
Hex1Cer(d42:2)ME9952090.480.361.541.62
Hex1Cer(d36:2)ME9952010.450.241.591.63
Hex1Cer(d42:3)ME9952100.470.291.671.58
Cer(d30:1)ME9951791.590.720.421.24
Hex2Cer(d28:0)ME9952151.710.790.451.05
Cer(d36:0)ME9951841.190.660.861.30
Cer(d31:3)ME9951801.250.540.611.60
Cer(d32:0)ME9951811.100.400.641.85
Cer(d34:0)ME9951821.140.410.611.85
CE(16:0)ME9951721.210.681.690.42
CE(16:1)ME9951730.890.671.870.57
CE(22:6)ME9951770.761.421.120.67
Cer(d40:2)ME9951911.690.910.740.66
Cer(d42:1)ME9951941.600.920.800.68
CE(18:2)ME9951751.421.300.680.59
Cer(d34:1)ME9951831.371.160.710.76
Cer(d40:1)ME9951901.501.040.840.63
Hex2Cer(d43:0)ME9952181.401.040.850.71
Hex1Cer(d33:1)ME9951981.190.890.920.99
Hex1Cer(d35:2)ME9951991.130.910.980.98
Hex1Cer(d38:2)ME9952031.130.890.990.99
CE(20:4)ME9951760.981.031.230.76
Cer(d38:2)ME9951890.901.101.150.84
Cer(d36:2)ME9951860.971.011.160.85
Cer(d36:1)ME9951851.021.071.090.82
Cer(d38:1)ME9951881.001.091.090.82
Cer(d42:3)ME9951961.150.731.270.85
CE(18:1)ME9951741.290.871.320.51
Cer(d37:1)ME9951871.470.651.170.70

Factors:

F1Sample source:BDEV | Diagnosis:AD
F2Sample source:BDEV | Diagnosis:CTL
F3Sample source:Brain | Diagnosis:AD
F4Sample source:Brain | Diagnosis:CTL
Data matrix
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