Package: optBiomarker 1.0-28
optBiomarker: Estimation of Optimal Number of Biomarkers for Two-Group Microarray Based Classifications at a Given Error Tolerance Level for Various Classification Rules
Estimates optimal number of biomarkers for two-group classification based on microarray data.
Authors:
optBiomarker_1.0-28.tar.gz
optBiomarker_1.0-28.zip(r-4.7)optBiomarker_1.0-28.zip(r-4.6)optBiomarker_1.0-28.zip(r-4.5)
optBiomarker_1.0-28.tgz(r-4.6-any)optBiomarker_1.0-28.tgz(r-4.5-any)
optBiomarker_1.0-28.tar.gz(r-4.7-any)optBiomarker_1.0-28.tar.gz(r-4.6-any)
optBiomarker_1.0-28.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
optBiomarker/json (API)
| # Install 'optBiomarker' in R: |
| install.packages('optBiomarker', repos = c('https://mkhondoker.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mkhondoker/optbiomarker/issues
- errorDbase - Database of leave-one-out cross validation errors for various combinations of data characteristics
- realBiomarker - A set of 54359 median gene expressions in log (base 2) scale
Last updated from:468d5a83aa. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 215 | ||
| source / vignettes | OK | 258 | ||
| linux-release-x86_64 | OK | 265 | ||
| macos-release-arm64 | OK | 192 | ||
| macos-oldrel-arm64 | OK | 181 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 125 | ||
| windows-oldrel | OK | 105 | ||
| wasm-release | OK | 160 |
Exports:avg2LowerclassificationErrorclassificationError.data.frameclassificationError.defaultclasspredict.knnclasspredict.ldadimSelectmatapproxobjFunoptimiseBiomarkerplot3dFunsimDatatnormAvgyapprox
Dependencies:base64encbslibcachemclassclicodetoolscpp11data.tablediagramdigeste1071evaluateexpmfarverfastmapfontawesomefsfuturefuture.applygenericsggplot2globalsgluegtablehighrhtmltoolshtmlwidgetsipredisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvmagrittrMASSMatrixmemoisemimemsmmvtnormnnetnumDerivparallellypillarpkgconfigprodlimprogressrproxyR6randomForestrappdirsRColorBrewerRcpprglrlangrmarkdownrpanelrpartS7sassscalesshapeSQUAREMsurvivaltibbletinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| R package for estimating optimal number of biomarkers at a given error tolerance level for various classification rules | optBiomarker-package optBiomarker |
| Estimation of misclassification errors (generalisation errors) based on statistical and various machine learning methods | classificationError classificationError.data.frame classificationError.default |
| Database of leave-one-out cross validation errors for various combinations of data characteristics | errorDbase |
| Estimates optimal number of biomarkers at a given error tolerance level for various classification rules | optimiseBiomarker |
| A set of 54359 median gene expressions in log (base 2) scale | realBiomarker |
| Simulation of microarray data | simData |
