Package: OutSeekR 1.1.0

OutSeekR: Statistical Approach to Outlier Detection in RNA-Seq and Related Data

An approach to outlier detection in RNA-seq and related data based on five statistics. 'OutSeekR' implements an outlier test by comparing the distributions of these statistics in observed data with those of simulated null data.

Authors:Jee Yun Han [aut], John Sahrmann [aut], Jaron Arbet [ctb], Paul Boutros [aut, cre, cph]

OutSeekR_1.1.0.tar.gz
OutSeekR_1.1.0.zip(r-4.7)OutSeekR_1.1.0.zip(r-4.6)OutSeekR_1.1.0.zip(r-4.5)
OutSeekR_1.1.0.tgz(r-4.6-any)OutSeekR_1.1.0.tgz(r-4.5-any)
OutSeekR_1.1.0.tar.gz(r-4.7-any)OutSeekR_1.1.0.tar.gz(r-4.6-any)
OutSeekR_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
OutSeekR/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 4 scripts 558 downloads 9 exports 11 dependencies

Last updated from:6a3ccf6356. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE113
source / vignettesOK272
linux-release-x86_64NOTE109
macos-release-arm64NOTE121
macos-oldrel-arm64NOTE158
windows-develNOTE72
windows-releaseNOTE70
windows-oldrelNOTE72
wasm-releaseOK100

Exports:calculate.p.valuescalculate.residualsdetect.outlierskmeans.fractionoutlier.detection.cosinequantify.outlierssimulate.nulltrim.samplezrange

Dependencies:codetoolsdigestfuturefuture.applyglobalslistenvlsamclustparallellySnowballCtruncnorm

Introduction to OutSeekR

Rendered fromintroduction.Rmdusingknitr::rmarkdownon May 16 2026.

Last update: 2026-01-16
Started: 2024-11-19