Package: iasva 1.31.0
Donghyung Lee
iasva: Iteratively Adjusted Surrogate Variable Analysis
Iteratively Adjusted Surrogate Variable Analysis (IA-SVA) is a statistical framework to uncover hidden sources of variation even when these sources are correlated. IA-SVA provides a flexible methodology to i) identify a hidden factor for unwanted heterogeneity while adjusting for all known factors; ii) test the significance of the putative hidden factor for explaining the unmodeled variation in the data; and iii), if significant, use the estimated factor as an additional known factor in the next iteration to uncover further hidden factors.
Authors:
iasva_1.31.0.tar.gz
iasva_1.31.0.zip(r-4.7)iasva_1.31.0.zip(r-4.6)iasva_1.31.0.zip(r-4.5)
iasva_1.31.0.tgz(r-4.6-any)iasva_1.31.0.tgz(r-4.5-any)
iasva_1.31.0.tar.gz(r-4.7-any)iasva_1.31.0.tar.gz(r-4.6-any)
iasva_1.31.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iasva/json (API)
NEWS
| # Install 'iasva' in R: |
| install.packages('iasva', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:iasva-1.31.0(bioc 3.24)iasva-1.30.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
preprocessingqualitycontrolbatcheffectrnaseqsoftwarestatisticalmethodfeatureextractionimmunooncology
Last updated from:cf5a38d124. Checks:1 WARNING, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 159 | ||
| linux-devel-x86_64 | OK | 330 | ||
| source / vignettes | OK | 287 | ||
| linux-release-x86_64 | OK | 318 | ||
| macos-release-arm64 | OK | 245 | ||
| macos-oldrel-arm64 | OK | 147 | ||
| windows-devel | OK | 230 | ||
| windows-release | OK | 253 | ||
| windows-oldrel | OK | 226 | ||
| wasm-release | OK | 141 |
Exports:fast_iasvafind_markersiasvastudy_R2
Dependencies:abindBHBiobaseBiocGenericsBiocParallelclustercodetoolscpp11DelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicRangesIRangesirlbalambda.rlatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSeqinfosnowSparseArraySummarizedExperimentXVector
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A function for fast IA-SVA | fast_iasva |
| A function for finding markers for hidden factors | find_markers |
| A function for iteratively adjusted surrogate variable analysis (IA-SVA) | iasva |
| A function to study different values of R2 | study_R2 |