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.
| 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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