DSAVE: Detection of misclassified cells in single-cell RNA-Seq data
Fig 6
Evaluation of the DSAVE variation score.
A. Technical validation of the DSAVE variation score. All cell populations were generated in a similar fashion as the SNO cell population, except the probabilities for each gene was multiplied by a noise factor f. The noise factor was calculated as f = 2N*a, where N is a standard normal distribution and a is a positive parameter that describes the magnitude of the noise. The probabilities are then normalized to a sum of 1. The figure shows an increasing score with increasing BTM variation, and demonstrates that the score is similar when the same noise level is applied, regardless of cell type or number of reads. B. BTM variation (DSAVE Score) for different datasets. C. Comparison between cell populations with 50% B cells and 50% T cells, and their pure counterparts, for a single patient. A specialized template with 1346 cells was used here due to small cell population sizes. D. Relative importance of variation factors calculated from 5 datasets. The graph shows which factors (dataset, cell type, and tissue of origin; indicated by red, blue, and green bars, respectively) can explain differences in the DSAVE variation score between cell populations.