Table 1 Large-scale prediction of normal human tissues with GETs
Tissue | Datasets | Samples | Correctly predicted | % Accuracy |
|---|---|---|---|---|
bone marrow | 1 | 11 | 11 | 100% |
fetal liver | 1 | 6 | 6 | 100% |
heart | 3 | 28 | 28 | 100% |
kidney | 11 | 108 | 106 | 99% |
liver | 9 | 84 | 84 | 100% |
lung | 11 | 170 | 169 | 99% |
ovary | 1 | 4 | 4 | 100% |
pancrease | 2 | 17 | 14 | 82% |
pituitary gland | 1 | 1 | 1 | 100% |
placenta | 4 | 34 | 34 | 100% |
prostate | 3 | 10 | 10 | 100% |
skeletal muscle | 8 | 134 | 134 | 100% |
skin | 10 | 121 | 121 | 100% |
testis | 1 | 6 | 6 | 100% |
thyroid | 4 | 36 | 36 | 100% |
Uterus | 1 | 27 | 27 | 100% |
Total | 61 | 797 | 791 | 99.25% |