Table 1 The configurations of experimental datasets.
From: Heterogeneity Analysis and Diagnosis of Complex Diseases Based on Deep Learning Method
Data ID | Sample size | MAF | Heterogeneity proportion |
|---|---|---|---|
Pure1 | 1000 | (0.2, 0.2) | 1.0 |
Pure2 | 2000 | (0.2, 0.2) | 1.0 |
Pure3 | 3000 | (0.2, 0.2) | 1.0 |
Pure4 | 4000 | (0.2, 0.2) | 1.0 |
Pure5 | 8000 | (0.2, 0.2) | 1.0 |
Pure6 | 1000 | (0.2,0.2,0.2) | 1.0 |
Pure7 | 2000 | (0.2,0.2,0.2) | 1.0 |
Pure8 | 3000 | (0.2,0.2,0.2) | 1.0 |
Pure9 | 4000 | (0.2,0.2,0.2) | 1.0 |
Pure10 | 8000 | (0.2,0.2,0.2) | 1.0 |
Hete1 | 1000 | (0.2, 0.2) (0.3,0.3) | H1 = 50%, H2 = 50% |
Hete2 | 2000 | (0.2, 0.2) (0.3,0.3) | H1 = 50%, H2 = 50% |
Hete3 | 3000 | (0.2, 0.2) (0.3,0.3) | H1 = 50%, H2 = 50% |
Hete4 | 4000 | (0.2, 0.2) (0.3,0.3) | H1 = 50%, H2 = 50% |
Hete5 | 8000 | (0.2, 0.2) (0.3,0.3) | H1 = 50%, H2 = 50% |
Hete6 | 1000 | (0.2,0.2,0.2) (0.3,0.3,0.3) | H1 = 50%, H2 = 50% |
Hete7 | 2000 | (0.2,0.2,0.2) (0.3,0.3,0.3) | H1 = 50%, H2 = 50% |
Hete8 | 3000 | (0.2,0.2,0.2) (0.3,0.3,0.3) | H1 = 50%, H2 = 50% |
Hete9 | 4000 | (0.2,0.2,0.2) (0.3,0.3,0.3) | H1 = 50%, H2 = 50% |
Hete10 | 8000 | (0.2,0.2,0.2) (0.3,0.3,0.3) | H1 = 50%, H2 = 50% |
