| number | what’s different |
|---|---|
| _ | normal branch |
| 3 | alignment refinement |
| 4 | more PCs |
| 6 | LRs instead |
| 7 | 3+4 |
| 9 | 3+6 |
-
euclidean –>
scipy.spatial.distance_matrix -
normal distribution, CDF –>
scipy.special.ndtr
-
different amounts of principal components –> change indices of
princo -
different cutoffs; now always 5 Å - 14 Å as it's proven to be more performant
-
z-scaling of LRs before/after –>
scale2(from R, different toscipy.stats.scale)
-
gapandlimitparameters
–>[0-9]npanalysis.pyfor analysis of optimal new parameters -
refinement step
| description | gap | limit |
|---|---|---|
| normal ER, 1st PC of scaled or unscaled LRs | 0.8 | 0.7 |
| 0.5 | 1.4 | |
| ER with 1st and 2nd PC | 0.8 | 2.0 |
| scaled LR | 2.2 | 4.2 |
| refinement step | 0.4 | 0.2 |