Figure 5.

The effects of doublet detection on cell clustering

(A) Cell clustering results by the Louvain algorithm after each doublet-detection method is applied to remove a varying percentage of droplets as the identified doublets (y-axis, from 1% to 25% with a step size of 1%); the true numbers of cell clusters are four, six, and eight under three simulation settings, each containing 20% true doublets; the yellow color indicates that the correct number of clusters was identified, while the red color indicates otherwise.

(B) Under the same three simulation settings as in (A), the distributions of the singlet proportions are shown after doublet removal by each method, if the remaining droplets lead to the correct number of cell clusters in (A); some methods are not shown because they do not lead to the correct number of cell clusters in (A). Methods are ordered by their average performance measurement across 16 datasets (low to high).