Fig. 3.

Cluster conservation from downsampled datasets. a Cluster conservation is an alternative metric to evaluate similarities and differences between clusters from different analyses, measuring conservation as a fraction of the subset cluster that originates from the same cluster. The diagram depicts a simplified cluster conservation calculation (see also Methods). b Cluster conservation as a function of cell number. Points are averaged within a sample from 56 downsampled subsets. c Cluster conservation as a function of complexity index. Points are averaged within a sample from 56 downsampled subsets. d When grouping clusters by cell type, cluster conservation is nearly perfect for most cell types. e The split of single cluster can be measured by counting the number of clusters that share ≥ 1 cell with either the original or subset cluster, as depicted in the diagram. f Cluster split number of subset clusters as a function of complexity index divided by cell type. Again, a plateau can be seen regardless of cell type around ~ 100,000. More complex cell types are split more, but complexity rather than cell type appears to indicate the number of splits that may occur