Inference of differentially expressed genes using generalized linear mixed models in a pairwise fashion

Inference of differentially expressed genes using generalized linear mixed models in a pairwise fashion

Background Technological advances involving RNA-Seq and Bioinformatics allow quantifying the transcriptional levels of genes in cells, tissues, and cell lines, permitting the identification of Differentially Expressed Genes (DEGs). DESeq2 and edgeR are well-established computational tools used for t...

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Bibliographic Details
Main Authors: Douglas Terra Machado, Otávio José Bernardes Brustolini, Yasmmin Côrtes Martins, Marco Antonio Grivet Mattoso Maia, Ana Tereza Ribeiro de Vasconcelos
Format: Article
Language:English
Published: PeerJ Inc. 2023-04-01
Series:PeerJ
Subjects:
Differentially expressed genes
Random effects
Generalized linear mixed model
Preprocessing
Gene dispersion
DEGRE package
Online Access:https://peerj.com/articles/15145.pdf

Internet

https://peerj.com/articles/15145.pdf

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