Clustering data with hclust algorithm for Insights into myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) phenotypes through comprehensive metabolomics (part III)) (Study ST000802)

Reversed phase NEGATIVE ION MODE (Analysis AN001274)
MetaboliteStructureF1F2F3F4F5F6F7F8
13-KODEME2188360.341.120.180.240.491.034.553.09
9-KODEME2188370.321.120.160.220.511.103.913.16
12(13)Ep-9-KODEME2188410.491.310.530.360.770.952.511.94
5S,15R-diHETEME2188140.651.03NA1.190.500.903.012.00
8,15-DiHETEME2188130.341.110.130.840.481.064.631.66
Alpha-9(10)-EpODEME2188450.511.170.120.340.641.173.931.47
13S-HODEME2188180.471.210.240.590.701.023.851.69
9-HODEME2188190.481.180.240.590.691.033.971.71
15,16-EpODEME2188440.561.110.070.930.681.384.350.21
LTB4ME2188160.611.06NA0.330.730.933.120.47
11-HETEME2188260.751.070.330.580.731.163.740.83
9-HETEME2188270.761.070.420.630.781.143.550.81
12,13-DiHODEME2188040.961.45NA0.400.720.86NA2.86
TXB2ME2187870.871.17NA0.590.791.041.321.58
9,10-DiHOMEME2188020.541.220.281.510.731.071.071.32
PGF2alphaME2187940.710.910.331.200.881.171.301.64
12S-HETEME2188240.881.130.640.720.991.090.990.91
15-deoxy PGJ2ME2187920.880.990.940.920.951.051.321.26
11,12-EpETrEME2188481.120.900.861.021.170.900.980.99
8,9-DiHETrEME2188081.011.110.711.150.781.001.080.97
9,10-e-DiHOME2188000.721.181.241.220.901.000.871.10
11,12-DiHETrEME2188070.891.141.011.120.970.930.950.97
14,15-DiHETrEME2188060.931.110.981.090.980.960.890.89
9,10-DiHODEME2188050.621.570.081.270.720.740.761.04
14-HDoHEME2188340.931.320.350.561.091.020.500.54
12_13-DiHOMEME2188010.801.12NA0.801.201.070.800.80
12S-HEPEME2188300.691.050.260.971.211.220.690.52
15-HEPEME2188290.881.140.241.200.751.171.330.46
17-HDoHEME2188330.971.140.300.920.921.021.590.58
4-HDoHEME2188351.031.150.281.000.970.941.400.57
12(13)-EpOMEME2188420.621.200.271.031.120.971.231.02
alpha-12(13)-EpODEME2188460.541.330.251.160.991.041.080.72
9-HOTEME2188210.761.350.271.460.820.911.080.62
19,20-DiHDPEME2188121.001.220.421.150.870.980.770.59
5S-HEPEME2188321.021.150.321.380.771.070.590.54
9-HEPEME2188310.971.150.291.300.761.120.810.52
15,16-DiHODEME2188030.900.960.301.540.811.140.880.87
5,6-DiHETrEME2188090.861.220.331.170.850.980.900.94
14,15-DiHETEME2188110.791.070.461.180.871.221.000.62
17,18-DiHETEME2188100.811.050.481.290.851.190.960.71
17(18)-EpETEME2188500.671.38NANA0.631.181.520.56
9,10-EpOME2188400.640.991.271.480.890.932.181.40
9(10)-EpOMEME2188430.601.200.360.841.000.942.041.33
9,12,13-TriHOMEME2187970.681.120.771.120.890.971.891.31
15-HETEME2188230.891.120.550.820.881.051.680.96
PGE1ME2187890.840.950.870.981.090.982.020.76
PGD2ME2187910.831.24NA0.520.591.012.430.60
13-HOTEME2188200.611.350.220.910.691.052.340.94
5-KETEME2188391.040.990.530.600.861.092.530.79
6-trans-LTB4ME2188150.821.210.460.551.010.992.050.84
5-HETEME2188280.911.110.490.820.890.982.280.90
8S-HETEME2188250.851.130.470.790.861.022.310.91

Factors:

F1CaseStatus:Case | SEX:Female | AGE_DICH:20_50
F2CaseStatus:Case | SEX:Female | AGE_DICH:over50
F3CaseStatus:Case | SEX:Male | AGE_DICH:20_50
F4CaseStatus:Case | SEX:Male | AGE_DICH:over50
F5CaseStatus:Control | SEX:Female | AGE_DICH:20_50
F6CaseStatus:Control | SEX:Female | AGE_DICH:over50
F7CaseStatus:Control | SEX:Male | AGE_DICH:20_50
F8CaseStatus:Control | SEX:Male | AGE_DICH:over50
Data matrix
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