I have seem some platforms such as GEPIA offering ANOVA for differential gene expression analysis. However, as far as I'm concerned, ANOVA compares the averages and assumes equal distribution and variance among samples, which, as far I have been lead to assume, is uncommon for any kind of RNA-seq derived data, especially considering the thousands of possibly expressed genes in the human genome. Is ANOVA really appropriate for differential expression?
According to A Beginner’s Guide to Analysis of RNA Sequencing Data (https://www.atsjournals.org/doi/10.1165/rcmb.2017-0430TR) ANOVA is an appropriate analysis for RNA-seq data. However, the review doesn't specify a tool/package to do this analysis. Searching for how to do ANOVA on RNA-seq data brought me to this page.