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DEHOGT  

Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data
View on CRAN: Click here


Download and install DEHOGT package within the R console
Install from CRAN:
install.packages("DEHOGT")

Install from Github:
library("remotes")
install_github("cran/DEHOGT")

Install by package version:
library("remotes")
install_version("DEHOGT", "0.99.0")



Attach the package and use:
library("DEHOGT")
Maintained by
Arlina Shen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-13
Latest Update: 2024-09-13
Description:
Implements a generalized linear model approach for detecting differentially expressed genes across treatment groups in count data. The package supports both quasi-Poisson and negative binomial models to handle over-dispersion, ensuring robust identification of differential expression. It allows for the inclusion of treatment effects and gene-wise covariates, as well as normalization factors for accurate scaling across samples. Additionally, it incorporates statistical significance testing with options for p-value adjustment and log2 fold range thresholds, making it suitable for RNA-seq analysis as described in by Xu et al., (2024) <doi:10.1371/journal.pone.0300565>.
How to cite:
Arlina Shen (2024). DEHOGT: Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data. R package version 0.99.0, https://cran.r-project.org/web/packages/DEHOGT. Accessed 11 Sep. 2026.
Previous versions and publish date:
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Complete documentation for DEHOGT
Functions, R codes and Examples using the DEHOGT R package
Full DEHOGT package functions and examples
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