Package: leapp 1.3
Yunting Sun
leapp: Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional known covariates matrix. A two stage analysis is applied to counter the effects of latent variables on the rankings of hypotheses. The estimation and adjustment of latent effects are proposed by Sun, Zhang and Owen (2011). "leapp" is developed in the context of microarray experiments, but may be used as a general tool for high throughput data sets where dependence may be involved.
Authors:
leapp_1.3.tar.gz
leapp_1.3.tar.gz(r-4.5-noble)leapp_1.3.tar.gz(r-4.4-noble)
leapp_1.3.tgz(r-4.4-emscripten)leapp_1.3.tgz(r-4.3-emscripten)
leapp.pdf |leapp.html✨
leapp/json (API)
| # Install 'leapp' in R: |
| install.packages('leapp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simdat - Simulated gene expression data affected by a group variable and an unobserved factor
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:bce08cc7d0. Checks:OK: 1 WARNING: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-linux | WARNING | Nov 04 2024 |
Exports:AlternateSVDFindAUCFindFprFindPrecFindRecFindTprIPODIPODFUNleappridgeROCplot
Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscorpcorcpp11crayoncurlDBIedgeRfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDatagluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenlmeopensslpkgconfigplogrpngR6rlangRSQLiteS4VectorssnowstatmodsurvivalsvasysUCSC.utilsvctrsXMLxtableXVectorzlibbioc
