A method that analyzes quality control metrics from multi-sample genomic sequencing studies and nominates poor quality samples for exclusion. Per sample quality control data are transformed into z-scores and aggregated. The distribution of aggregated z-scores are modelled using parametric distributions. The parameters of the optimal model, selected either by goodness-of-fit statistics or user-designation, are used for outlier nomination. Two implementations of the Cosine Similarity Outlier Detection algorithm are provided with flexible parameters for dataset customization.
Version: 1.1.0 Depends: R (≥ 2.10) Imports: stats, utils, fitdistrplus, lsa, BoutrosLab.plotting.general Suggests: knitr, rmarkdown, kableExtra, dplyr, testthat (≥ 3.0.0) Published: 2024-03-01 DOI: 10.32614/CRAN.package.OmicsQC Author: Anders Hugo Frelin [aut], Helen Zhu [aut], Paul C. Boutros [aut, cre] Maintainer: Paul C. Boutros <PBoutros at mednet.ucla.edu> License: GPL-2 NeedsCompilation: no Materials: NEWS CRAN checks: OmicsQC results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=OmicsQC to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4