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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.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | future.apply, gamlss, gamlss.dist, lsa, truncnorm |
| Suggests: | future, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-11-19 |
| DOI: | 10.32614/CRAN.package.OutSeekR |
| Author: | Jee Yun Han [aut], John Sahrmann [aut], Jaron Arbet [ctb], Paul Boutros [aut, cre, cph] |
| Maintainer: | Paul Boutros <pboutros at mednet.ucla.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | OutSeekR results |
| Reference manual: | OutSeekR.pdf |
| Vignettes: |
Introduction to OutSeekR (source, R code) |
| Package source: | OutSeekR_1.0.0.tar.gz |
| Windows binaries: | r-devel: OutSeekR_1.0.0.zip, r-release: OutSeekR_1.0.0.zip, r-oldrel: OutSeekR_1.0.0.zip |
| macOS binaries: | r-release (arm64): OutSeekR_1.0.0.tgz, r-oldrel (arm64): OutSeekR_1.0.0.tgz, r-release (x86_64): OutSeekR_1.0.0.tgz, r-oldrel (x86_64): OutSeekR_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.