Introduction | Classify microarray data | Lasso regression | PAM regression | Random forest | ROC curve | Appendix | Session information
Package: a4Classif 1.61.0
Laure Cougnaud
a4Classif: Automated Affymetrix Array Analysis Classification Package
Functionalities for classification of Affymetrix microarray data, integrating within the Automated Affymetrix Array Analysis set of packages.
Authors:
a4Classif_1.61.0.tar.gz
a4Classif_1.61.0.zip(r-4.7)a4Classif_1.61.0.zip(r-4.6)a4Classif_1.61.0.zip(r-4.5)
a4Classif_1.61.0.tgz(r-4.6-any)a4Classif_1.61.0.tgz(r-4.5-any)
a4Classif_1.61.0.tar.gz(r-4.7-any)a4Classif_1.61.0.tar.gz(r-4.6-any)
a4Classif_1.61.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
a4Classif/json (API)
| # Install 'a4Classif' in R: |
| install.packages('a4Classif', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:a4Classif-1.61.0(bioc 3.24)a4Classif-1.60.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraygeneexpressionclassification
Last updated from:e8a308b135. Checks:8 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 186 | ||
| linux-devel-x86_64 | NOTE | 215 | ||
| source / vignettes | OK | 216 | ||
| linux-release-x86_64 | NOTE | 225 | ||
| macos-release-arm64 | NOTE | 145 | ||
| macos-oldrel-arm64 | NOTE | 144 | ||
| windows-devel | NOTE | 493 | ||
| windows-release | NOTE | 519 | ||
| windows-oldrel | NOTE | 519 | ||
| wasm-release | OK | 179 |
Exports:lassoClasspamClassrfClassROCcurvetopTable
Dependencies:a4Corea4PreprocBiobaseBiocGenericsbitopscaToolsclustercodetoolsforeachgenericsglmnetgplotsgtoolsiteratorsKernSmoothlatticeMatrixpamrrandomForestRcppRcppEigenROCRshapesurvivalvarSelRF
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classify using the Lasso | lassoClass |
| Classify using Prediction Analysis for MicroArrays | pamClass |
| Classify using Random Forests | rfClass |
| Receiver operating curve | ROCcurve |
| Top table for 'pamClass' object | topTable,pamClass-method |
| Top table for 'rfClass' object | topTable,rfClass-method |
