Table 4 Investigation of prior knowledge derived in the significant or non-significant genes in the ablation study
From: PheSeq, a Bayesian deep learning model to enhance and interpret the gene-disease association studies
| Â | Gene count | Aveg. literature | Aveg. sentence | Aveg. concept | # sign. neighbors | # literature | # sentence | # concept |
|---|---|---|---|---|---|---|---|---|
Alzheimers’ disease | ||||||||
    Sign. genes | 391 | 21.17 | 31.80 | 11.54 | 5.54 | 115.35 | 173.22 | 62.86 |
    Non-sign. genes | 626 | 2.32 | 3.28 | 2.90 | 3.13 | 3.08 | 4.36 | 3.87 |
Breast cancer (BC) | ||||||||
    Sign. genes | 1398 | 13.96 | 21.67 | 13.65 | 6.51 | 80.59 | 125.84 | 79.04 |
    Non-sign. genes | 2001 | 2.36 | 3.29 | 3.63 | 5.19 | 4.33 | 6.03 | 6.65 |
Lung cancer (LC) | ||||||||
    Sign. genes | 172 | 17.23 | 22.29 | 12.12 | 4.78 | 88.90 | 115.00 | 61.16 |
    Non-sign. genes | 577 | 1.56 | 2.03 | 2.29 | 2.94 | 0.41 | 0.54 | 0.62 |