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. 2019 Jul 5;35(14):i260–i268. doi: 10.1093/bioinformatics/btz364

Table 1.

Accuracy on simulated datasets

Accuracy SNR of target domain (SA)
1000 0.5 0.1 0.05 0.03
SNR of source domain (SB) 1000 0.855 0.687 0.385 0.235 0.157
0.739 0.620 0.287 0.159 0.111
0.760 0.638 0.289 0.162 0.114
0.991 0.923 0.737 0.499 0.326
0.5 0.779 0.757 0.547 0.366 0.258
0.806 0.710 0.479 0.372 0.291
0.819 0.723 0.486 0.373 0.291
0.978 0.970 0.835 0.628 0.464
0.1 0.902 0.922 0.894 0.726 0.503
0.864 0.881 0.776 0.637 0.475
0.905 0.920 0.826 0.650 0.479
0.894 0.932 0.901 0.760 0.626
0.05 0.946 0.950 0.911 0.766 0.563
0.937 0.929 0.897 0.758 0.575
0.948 0.951 0.907 0.774 0.583
0.967 0.971 0.928 0.825 0.628
0.03 0.938 0.924 0.903 0.844 0.704
0.903 0.891 0.864 0.775 0.609
0.907 0.893 0.865 0.778 0.613
0.976 0.972 0.952 0.891 0.773

Note: In each cell, from top to bottom, the results displayed are accuracy without domain adaptation, IE accuracy, SC accuracy and 3D-ADA accuracy. The highest one is highlighted in bold.