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:Yunting Sun <[email protected]> , Nancy R.Zhang <[email protected]>, Art B.Owen <[email protected]>

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'))

Peer review:

Datasets:
  • 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.

1.00 score 9 scripts 180 downloads 11 exports 65 dependencies

Last updated 3 years agofrom:bce08cc7d0. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linuxNOTEDec 04 2024

Exports:AlternateSVDFindAUCFindFprFindPrecFindRecFindTprIPODIPODFUNleappridgeROCplot

Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscorpcorcpp11crayoncurlDBIedgeRfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsGenomeInfoDbGenomeInfoDbDatagluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenlmeopensslpkgconfigplogrpngR6rlangRSQLiteS4VectorssnowstatmodsurvivalsvasysUCSC.utilsvctrsXMLxtableXVectorzlibbioc