Differentially Expressed Heterogeneous Overdispersion Genes Testing for Count Data
Yubai Yuan, Qi Xu, Agaz Hussain Wani, Jan Dahrendorff, Chengqi C. Q. Wang, Arlina Shen, Janelle Donglasan, Sarah C. Burgan, Zachary Graham, Monica Uddin, Derek E. Wildman, Annie Qu
The paper introduces DEHOGT, a method for detecting differentially expressed genes in RNA-seq data that accounts for overdispersion, and shows it outperforms DESeq and EdgeR on synthetic data and detects more DE genes in microglial cells under stress hormone treatments.
PLoS ONE · Jul 17, 2024Peer-reviewedGenomics