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. 2020 Jan 23;36(9):2778–2786. doi: 10.1093/bioinformatics/btaa042

Fig. 5.

Fig. 5.

Performance of PARC on scRNA-seq datasets compared to other methods. (a) F1-scores on principal components (PCs) of top 10% highly variable genes (HVG); (b) F1-scores when input is the count matrix of top 10% HVG or 1000 HVG for 68K PBMC shows PARC maintains a high level of accuracy relative to other methods on both types of inputs