OutSeekR: Statistical Approach to Outlier Detection in RNA-Seq and RelatedData
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 |
| In views: | AnomalyDetection |
| CRAN checks: | OutSeekR results |
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