Package: GSEAlm 1.72.0
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_1.72.0.tar.gz
GSEAlm_1.72.0.zip(r-4.7)GSEAlm_1.72.0.zip(r-4.6)GSEAlm_1.72.0.zip(r-4.5)
GSEAlm_1.72.0.tgz(r-4.6-any)GSEAlm_1.72.0.tgz(r-4.5-any)
GSEAlm_1.72.0.tar.gz(r-4.7-any)GSEAlm_1.72.0.tar.gz(r-4.6-any)
GSEAlm_1.72.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GSEAlm/json (API)
| # Install 'GSEAlm' in R: |
| install.packages('GSEAlm', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:GSEAlm-1.73.0(bioc 3.24)GSEAlm-1.72.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7a726eddfd (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 213 | ||
| linux-devel-x86_64 | NOTE | 244 | ||
| source / vignettes | OK | 257 | ||
| linux-release-x86_64 | NOTE | 225 | ||
| macos-release-arm64 | NOTE | 144 | ||
| macos-oldrel-arm64 | NOTE | 133 | ||
| windows-devel | NOTE | 144 | ||
| windows-release | NOTE | 122 | ||
| windows-oldrel | NOTE | 136 | ||
| wasm-release | OK | 145 |
Exports:CooksDPerGenedfbetasPerGenedffitsPerGenegetResidPerGenegsealmPermGSNormalizeidentityLeveragelmPerGenemnDiffPlotoneresplotrestrip
Dependencies:BiobaseBiocGenericsgenerics
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 |
