From: Polygenic risk modeling of tumor stage and survival in bladder cancer
Parameter | Abbreviation | Levels |
---|---|---|
Learning rate | LR | 8 |
Metric for high dimensional space distances calculation | Metr | 8 |
Number of nearest neighbors assumed at local level | LC | 5 |
Dispersion of points on manifold | MiD | 5 |
Size of neighboring sample points in manifold estimation | NN | 6 |
During optimization, ratio of negative samples per positive example | NSR | 3 |
Negative samples penalization while optimizing in low dimension | RS | 4 |
Ratio of fuzzy set operations to obtain global fuzzy simplicial sets | Mix | 5 |
Spread out scale of embedded points | Sp | 5 |