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Fig. 2 | Genome Biology

Fig. 2

From: SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data

Fig. 2

Evaluation of SLICER on synthetic data. a Comparison of performance of SLICER, Wanderlust, ICA, and random shuffling. The synthetic datasets were generated as described in the text using 500 genes, σ = 2 (σ is the noise level), and increasing values of p. A higher p corresponds to an increased probability that a gene will be randomly reshuffled, removing its relationship with the simulated trajectory. To assess the effectiveness of automatic determination of k, SLICER was run both with and without automatic selection of k. Performance was evaluated by counting the number of inversions in the resulting sorted list of cells. b Histogram of percent sortedness values from 1000 random permutations of the simulated trajectory used in panel a. Note that the distribution of values is sharply peaked around 50 % sortedness

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