Package: GSEAlm 1.65.0
Assaf Oron
GSEAlm: Linear Model Toolset for Gene Set Enrichment Analysis
Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.
Authors:
GSEAlm_1.65.0.tar.gz
GSEAlm_1.65.0.zip(r-4.5)GSEAlm_1.65.0.zip(r-4.4)GSEAlm_1.65.0.zip(r-4.3)
GSEAlm_1.65.0.tgz(r-4.4-any)GSEAlm_1.65.0.tgz(r-4.3-any)
GSEAlm_1.65.0.tar.gz(r-4.5-noble)GSEAlm_1.65.0.tar.gz(r-4.4-noble)
GSEAlm_1.65.0.tgz(r-4.4-emscripten)GSEAlm_1.65.0.tgz(r-4.3-emscripten)
GSEAlm.pdf |GSEAlm.html✨
GSEAlm/json (API)
| # Install 'GSEAlm' in R: |
| install.packages('GSEAlm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:GSEAlm-1.65.0(bioc 3.20)GSEAlm-1.64.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:304352a219
Exports:CooksDPerGenedfbetasPerGenedffitsPerGenegetResidPerGenegsealmPermGSNormalizeidentityLeveragelmPerGenemnDiffPlotoneresplotrestrip
Dependencies:BiobaseBiocGenerics
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Linear-Model Deletion Diagnostics for Gene Expression (or similar) Data Structures | CooksDPerGene dfbetasPerGene dffitsPerGene Leverage |
| Row-by-Row Linear-Model Residuals for Gene Expression (or similar) Data Structures | getResidPerGene |
| Nonparametric inference for linear models in Gene-Set-Enrichment Analysis (GSEA) | gsealmPerm |
| Aggregating and calculating expression statistics by Gene Set | GSNormalize identity one |
| Fit linear model for each gene | lmPerGene |
| Simple Graphical Summaries for Gene Set Enrichment Analysis (GSEA) | mnDiffPlot resplot restrip |
