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- W4320031543 abstract "Summary We compared two of the most common methods for differential expression analysis in the RNA-seq field: edgeR and DESeq2. We evaluated these methods based on four real RNA-seq plant datasets. The results indicate that there is a large number of joint differentially expressed genes between the two methods. However, depending on the research goal and the preparation of an experiment, different approaches to statistical analysis and interpretation of the results can be suggested. We focus on answering the question: what workflow should be used in the statistical analysis of the datasets under consideration to minimize the number of falsely identified differentially expressed genes?" @default.
- W4320031543 created "2023-02-12" @default.
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- W4320031543 date "2022-12-01" @default.
- W4320031543 modified "2023-09-30" @default.
- W4320031543 title "Application of edgeR and DESeq2 methods in plant experiments based on RNA-seq technology" @default.
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- W4320031543 doi "https://doi.org/10.2478/bile-2022-0009" @default.
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