Package: iasva 1.23.0
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_1.23.0.tar.gz
iasva_1.23.0.zip(r-4.5)iasva_1.23.0.zip(r-4.4)iasva_1.23.0.zip(r-4.3)
iasva_1.23.0.tgz(r-4.4-any)iasva_1.23.0.tgz(r-4.3-any)
iasva_1.23.0.tar.gz(r-4.5-noble)iasva_1.23.0.tar.gz(r-4.4-noble)
iasva_1.23.0.tgz(r-4.4-emscripten)iasva_1.23.0.tgz(r-4.3-emscripten)
iasva.pdf |iasva.html✨
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-1.23.0(bioc 3.20)iasva-1.22.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:5f0aaf46b3
Exports:fast_iasvafind_markersiasvastudy_R2
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelclustercodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesirlbajsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc
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 |