Package: RIVER 1.37.0

Yungil Kim

RIVER: R package for RIVER (RNA-Informed Variant Effect on Regulation)

An implementation of a probabilistic modeling framework that jointly analyzes personal genome and transcriptome data to estimate the probability that a variant has regulatory impact in that individual. It is based on a generative model that assumes that genomic annotations, such as the location of a variant with respect to regulatory elements, determine the prior probability that variant is a functional regulatory variant, which is an unobserved variable. The functional regulatory variant status then influences whether nearby genes are likely to display outlier levels of gene expression in that person. See the RIVER website for more information, documentation and examples.

Authors:Yungil Kim [aut, cre], Alexis Battle [aut]

RIVER_1.37.0.tar.gz
RIVER_1.37.0.zip(r-4.7)RIVER_1.37.0.zip(r-4.6)RIVER_1.37.0.zip(r-4.5)
RIVER_1.37.0.tgz(r-4.6-any)RIVER_1.37.0.tgz(r-4.5-any)
RIVER_1.37.0.tar.gz(r-4.7-any)RIVER_1.37.0.tar.gz(r-4.6-any)
RIVER_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
RIVER/json (API)
NEWS

# Install 'RIVER' in R:
install.packages('RIVER', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ipw012/river/issues

On BioConductor:RIVER-1.37.0(bioc 3.24)RIVER-1.36.0(bioc 3.23)

geneexpressiongeneticvariabilitysnptranscriptionfunctionalpredictiongeneregulationgenomicvariationbiomedicalinformaticsfunctionalgenomicsgeneticssystemsbiologytranscriptomicsbayesianclusteringtranscriptomevariantregressionfunctional-variantsvariant

5.56 score 12 stars 5 scripts 3 mentions 10 exports 31 dependencies

Last updated from:4f798a2522. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE159
linux-devel-x86_64OK272
source / vignettesOK208
linux-release-x86_64OK247
macos-release-arm64OK148
macos-oldrel-arm64OK101
windows-develOK135
windows-releaseOK147
windows-oldrelOK129
wasm-releaseOK129

Exports:appRIVERevaRIVERgetDatagetFuncRvFeatgetFuncRvPosteriorsintegratedEMmleBetamleThetaplotPosteriorstestPosteriors

Dependencies:BiobaseBiocGenericsclicodetoolscpp11farverforeachgenericsggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecycleMatrixpROCR6RColorBrewerRcppRcppEigenrlangS7scalesshapesurvivalvctrsviridisLitewithr

RIVER

Rendered fromRIVER.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2018-08-30
Started: 2017-03-31