Table 2 Comparison of ZIFA to PPCA and FA on four biological data sets
From: ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis
Data set | Method | Subset size | |||
|---|---|---|---|---|---|
| Â | Â | 25 | 100 | 250 | 1000 |
Differentiating T cells [3] | FA | 86±6.6 % | 84±4.6 % | 82±4.9 % | 84±8.8 % |
|  | PPCA | 88±6.3 % | 87±4.1 % | 89±4.5 % | 100±0.3 % |
11 populations [15] | FA | 97±3.7 % | 96±2.5 % | 96±2.1 % | 95±2.7 % |
|  | PPCA | 98±3.2 % | 97±2.0 % | 97±1.5 % | 99±0.6 % |
Myoblasts [5] | FA | 97±3.3 % | 97±2.4 % | 96±2.7 % | 95±2.7 % |
|  | PPCA | 97±3.2 % | 96±2.3 % | 96±2.1 % | 99±1.7 % |
Bone marrow [14] | FA | 98±3.0 % | 97±2.0 % | 97±1.7 % | 97±1.7 % |
|  | PPCA | 98±3.1 % | 97±1.8 % | 97±1.4 % | 97±1.3 % |