Extended Data Fig. 9: PENCIL’s runtime and memory usages with varying numbers of genes and conditions.
From: Supervised learning of high-confidence phenotypic subpopulations from single-cell data
a-c, For datasets with 10,000 cells and three conditions, the runtime, overall memory usage of CPU and GPU against the number of genes, respectively. d-f, For datasets with 10,000 cells and 2000 genes, the runtime, overall memory usage of CPU and GPU against the number of conditions, respectively. MiB, mebibyte.
