Fig. 4
From: De novo identification of expressed cancer somatic mutations from single-cell RNA sequencing data
Evaluating the performance of RESA with comparison to other methods using WES data across multiple cancer cell lines. a Boxplots showing precisions (top) and sensitivities (bottom) of different methods in identifying positive somatic SNVs using WES data as ground truth across 15 scRNA-seq datasets. b The scatter plot showing F0.5 scores of different methods in identifying positive somatic SNVs using the number of somatic SNVs in WES data as ground truth across 15 scRNA-seq datasets. c Mutation spectra of somatic SNVs identified using all exonic SNVs, all expressed SNVs, RESA-jLR, and the Maynard 2020 approach across 3 scRNA-seq datasets. Pairwise cosine similarity scores were shown next to brackets