Exaggerated false positives by popular differential expression methods when analyzing human population samples

When identifying differentially expressed genes between two conditions using human population RNA-seq samples, we found a phenomenon by permutation analysis: two popular bioinformatics methods, DESeq2 and edgeR, have unexpectedly high false discovery rates. Expanding the analysis to limma-voom, NOIS...

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Detalles Bibliográficos
Autores principales: Li, Yumei, Ge, Xinzhou, Peng, Fanglue, Li, Wei, Li, Jingyi Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922736/
https://www.ncbi.nlm.nih.gov/pubmed/35292087
http://dx.doi.org/10.1186/s13059-022-02648-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922736/
https://www.ncbi.nlm.nih.gov/pubmed/35292087
http://dx.doi.org/10.1186/s13059-022-02648-4

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