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. 2021 Feb 5;12:616686. doi: 10.3389/fgene.2021.616686

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Copyright © 2021 He, Pan, Shao and Wang.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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AUCs of DE methods for simulated datasets generated by GLMMs with μ_π = 0. Adjusted p-values are used as predictors. (A) Bar plot of AUCs for simulated datasets generated by NB GLMMs for each of 12 DE methods with the dispersion parameter θ = 0.5. (B) Bar plot of AUCs for simulated datasets generated by NB GLMMs for each of 12 DE methods with θ = 1. (C) Bar plot of AUCs for simulated datasets generated by NB GLMMs for each of 12 DE methods with θ = 2. (D) Bar plot of AUCs for simulated datasets generated by Poisson GLMMs for each of 12 DE methods. AUC, area under curve; DE, differential expression; GLMM, generalized linear mixed model; NB, negative binomial.