Package: DEHOGT 0.99.0

DEHOGT: Differentially Expressed Heterogeneous Overdispersion Gene Test for Count Data

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 overdispersion, 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.

Authors:Qi Xu [aut], Arlina Shen [cre], Yubai Yuan [ctb], Annie Qu [ctb]

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DEHOGT.pdf |DEHOGT.html✨
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NEWS

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Bug tracker:https://github.com/ahshen26/dehogt/issues

On CRAN:

geneexpressiondifferentialexpressionstatisticalmethodregressionnormalization

1 exports 0.82 score 5 dependencies 2 scripts

Last updated 12 days agofrom:ad614f6a1c. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:dehogt_func

Dependencies:codetoolsdoParallelforeachiteratorsMASS