Table 1 Example datasets used for training and testing the models
From: Supervised learning methods in modeling of CD4+ T cell heterogeneity
Sample data | Input data | Output data | |||||||
|---|---|---|---|---|---|---|---|---|---|
IFNγ | IL12 | IL6 | TGFβ | IL17 | RORgt | IFNγ | Tbet | FOXP3 | |
Data without Noise | 1 | 0 | 0.5 | 0 | 0.996 | 0.989 | 0.122 | 0.547 | 7.51E-06 |
0.75 | 0.75 | 0 | 0.75 | 0.156 | 0.117 | 0.942 | 0.677 | 0.000103 | |
0.5 | 0.5 | 0.25 | 0.5 | 0.989 | 0.967 | 0.282 | 0.404 | 1.25E-05 | |
0.25 | 0 | 0 | 1 | 0.155 | 0.117 | 0.401 | 0.645 | 0.000105 | |
Data with noise in range of [−0.5 %, 0.5 %] | 1 | 0 | 0.5 | 0 | 0.974 | 0.913 | 0.118 | 0.545 | 7.12E-06 |
0.75 | 0.75 | 0 | 0.75 | 0.148 | 0.106 | 0.900 | 0.644 | 9.91E-05 | |
0.5 | 0.5 | 0.25 | 0.5 | 0.950 | 0.922 | 0.264 | 0.391 | 1.28E-05 | |
0.25 | 0 | 0 | 1 | 0.144 | 0.115 | 0.390 | 0.640 | 0.000105 | |
Data with noise in range of [−1 %, 1 %] | 1 | 0 | 0.5 | 0 | 0.933 | 0.880 | 0.114 | 0.482 | 6.71E-06 |
0.75 | 0.75 | 0 | 0.75 | 0.133 | 0.116 | 0.784 | 0.614 | 9.84E-05 | |
0.5 | 0.5 | 0.25 | 0.5 | 0.980 | 0.959 | 0.264 | 0.368 | 1.21E-05 | |
0.25 | 0 | 0 | 1 | 0.154 | 0.106 | 0.352 | 0.604 | 9.75E-05 | |