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. 2021 Jun 2;49(14):e83. doi: 10.1093/nar/gkab433

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© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 5. — Effects of hyperparameter selection on noise quantification. (A) PCC-abundance plot for a window length of 1,000 genes, ∼1/5th of the default. (B) PCC-abundance plot for a window length of 20 000 genes, ∼4 times the default. (C) Spearman correlation plotted against abundance for the default window length of ∼5500. (D) Inverse of the Euclidean distance plotted against abundance for the default window length of ∼5500. (E) Inverse of the Kulback–Leibler divergence plotted against abundance for the default window length of ∼5500. (F) Inverse of the Jensen-Shannon divergence plotted against abundance for the default window length of ∼5500.