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scaling_fit_cv
README.Rmd
README.md
benchmark_interpretation.pdf
benchmark_interpretation.png
complementarity.pdf
complementarity.png
complementarity_example.pdf
predcors.pdf
predcors.png
topology_complexity_difference.pdf
topology_complexity_examples.pdf
variability_dataset_source.pdf
variability_trajectory_type.pdf
variability_trajectory_type_points.pdf

README.md

Benchmark interpretation

Figure 1: Accuracy of trajectory inference methods. (a) Overall score for all methods and datasets, colored by the source of the datasets. (c) Similarity between the overall scores of all dataset sources, compared to real datasets with a gold standard. (b) Bias in the overall score towards trajectory types. (d) Distributions of the difference in size between predicted and reference topologies. A positive difference means that the topology predicted by the method is more complex than the one in the reference.


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