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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 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>.

Versions across snapshots

VersionRepositoryFileSize
0.99.0 rolling linux/jammy R-4.5 DEHOGT_0.99.0.tar.gz 256.6 KiB
0.99.0 rolling linux/noble R-4.5 DEHOGT_0.99.0.tar.gz 256.4 KiB
0.99.0 rolling source/ R- DEHOGT_0.99.0.tar.gz 243.2 KiB
0.99.0 latest linux/jammy R-4.5 DEHOGT_0.99.0.tar.gz 256.6 KiB
0.99.0 latest linux/noble R-4.5 DEHOGT_0.99.0.tar.gz 256.4 KiB
0.99.0 latest source/ R- DEHOGT_0.99.0.tar.gz 243.2 KiB
0.99.0 2026-04-26 source/ R- DEHOGT_0.99.0.tar.gz 243.2 KiB
0.99.0 2026-04-23 source/ R- DEHOGT_0.99.0.tar.gz 243.2 KiB
0.99.0 2026-04-09 windows/windows R-4.5 DEHOGT_0.99.0.zip 257.0 KiB
0.99.0 2025-04-20 source/ R- DEHOGT_0.99.0.tar.gz 243.2 KiB

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