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:
DEHOGT_0.99.0.tar.gz
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DEHOGT_0.99.0.tgz(r-4.4-any)DEHOGT_0.99.0.tgz(r-4.3-any)
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DEHOGT.pdf |DEHOGT.html✨
DEHOGT/json (API)
NEWS
| # Install 'DEHOGT' in R: |
| install.packages('DEHOGT', repos = c('https://ahshen26.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahshen26/dehogt/issues
geneexpressiondifferentialexpressionstatisticalmethodregressionnormalization
Last updated 3 months agofrom:ad614f6a1c. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | NOTE | Nov 13 2024 |
| R-4.5-linux | NOTE | Nov 13 2024 |
| R-4.4-win | NOTE | Nov 13 2024 |
| R-4.4-mac | NOTE | Nov 13 2024 |
| R-4.3-win | NOTE | Nov 13 2024 |
| R-4.3-mac | NOTE | Nov 13 2024 |
Exports:dehogt_func
Dependencies:codetoolsdoParallelforeachiteratorsMASS
