Package: ARISE 0.1.0
Amjad Ali
ARISE: Adaptive Residual-Informed Stability Ensemble Feature Selection
Provides the Adaptive Residual-Informed Stability Ensemble ('ARISE') method for supervised feature selection in small-sample biomedical omics. The method combines complementary relevance components, class-balanced subsample stability, residual-informed redundancy control, multiclass pair coverage, nested profile racing, and soft consensus. The main function returns only the column indices of the top-ranked features. Method details are described by Zardad Khan, Amjad Ali, Naz Gul, and Saeed Aldahmani (2026) <doi:10.48550/arXiv.2608.14866>.
Authors:
ARISE_0.1.0.tar.gz
ARISE_0.1.0.zip(r-4.7-any)ARISE_0.1.0.zip(r-4.6-any)
ARISE_0.1.0.tar.gz(r-4.7-any)ARISE_0.1.0.tar.gz(r-4.6-any)
ARISE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ARISE/json (API)
| # Install 'ARISE' in R: |
| install.packages('ARISE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- NovartisMultiTissue - Novartis Multitissue Gene Expression Dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f1cba1b024. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 133 | ||
| source / vignettes | OK | 176 | ||
| linux-release | OK | 124 | ||
| windows-devel | OK | 63 | ||
| windows-release | OK | 59 | ||
| wasm-release | OK | 100 |
Exports:ARISEFS
Dependencies:classe1071matrixStatsproxyrandomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ARISE: Adaptive Residual-Informed Stability Ensemble Feature Selection | ARISE-package ARISE |
| Adaptive Residual-Informed Stability Ensemble Feature Selection | ARISEFS |
| Novartis Multitissue Gene Expression Dataset | NovartisMultiTissue |