Table 3.
Detailed description of different scaling/normalization approaches used in the benchmarking.
| Scaling/normalization method | Single-cell specific | Output containing negative values | Output bounded in [0,1] interval | Reference |
|---|---|---|---|---|
| Column-wise (= Total count or library size normalization) | No | No | Yes | 59 |
| Column min-max | No | No | Yes | 60 |
| Column z-score | No | Yes | No | 61 |
| Row-wise | No | No | Yes | 62 |
| Global min-max | No | No | Yes | 60 |
| Global z-score | No | Yes | No | 61 |
| Quantile normalization (QN) | No | No | No | 63 |
| Upper quartile (UQ) | No | No | No | 64 |
| Transcripts per million (TPM) | No | No | No | 65 |
| Trimmed mean of M-values (TMM) | No | No | No | 66 |
| LogNormalize | No | No | No | 67 |
| Median of ratios | No | No | No | 13 |
| Scran | Yes | No | No | 16 |
| Scater | Yes | No | No | 68 |
| Linnorm | Yes | No | No | 69 |
| SCTransform (RNBR) | Yes | No | No | 15 |