Package: SmartSVA 0.1.3
Jun Chen
SmartSVA: Fast and Robust Surrogate Variable Analysis
Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.
Authors:
SmartSVA_0.1.3.tar.gz
SmartSVA_0.1.3.tar.gz(r-4.7-arm64)SmartSVA_0.1.3.tar.gz(r-4.7-x86_64)SmartSVA_0.1.3.tar.gz(r-4.6-arm64)SmartSVA_0.1.3.tar.gz(r-4.6-x86_64)
SmartSVA_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SmartSVA/json (API)
| # Install 'SmartSVA' in R: |
| install.packages('SmartSVA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f191d02cbb. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 239 | ||
| linux-devel-x86_64 | OK | 256 | ||
| source / vignettes | OK | 224 | ||
| linux-release-arm64 | OK | 239 | ||
| linux-release-x86_64 | OK | 249 | ||
| wasm-release | OK | 158 |
Exports:smartsva.cpp
Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemcliclueclustercodetoolscpp11crayoncurlDBIedgeRfarverfastICAfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsggplot2gluegtablehttrIRangesisobandisvaJADEjsonliteKEGGRESTlabelinglambda.rlatticelifecyclelimmalocfitmagrittrMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenlmeopensslpkgconfigplyrpngqvalueR6RColorBrewerRcppRcppEigenreshape2rlangRSpectraRSQLiteS4VectorsS7scalesSeqinfosnowstatmodstringistringrsurvivalsvasysvctrsviridisLitewithrXMLxtableXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast and robust surrogate variable analysis. | smartsva.cpp |