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. 2021 Jul 22;49(18):e104. doi: 10.1093/nar/gkab601

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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-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 2. — Comparison of the performances of the four methods with common gene sets from the glioblastoma scRNA-seq dataset. r0.1 represents the synthetic dataset in which 90 of read counts present zero expression compared to the original data. The average AUROC (A), AUPR (B) and AP (C) were calculated by repeating each simulation 10 times.

Inline graphic — Comparison of the performances of the four methods with common gene sets from the glioblastoma scRNA-seq dataset. r0.1 represents the synthetic dataset in which 90 of read counts present zero expression compared to the original data. The average AUROC (A), AUPR (B) and AP (C) were calculated by repeating each simulation 10 times.