nanostringr: Performs Quality Control, Data Normalization, and Batch EffectCorrection for 'NanoString nCounter' Data
Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) <doi:10.1371/journal.pone.0153844>. Various metrics are used to determine which samples passed or failed QC. Gene expression should first be normalized to housekeeping genes, before a reference-based approach is used to adjust for batch effects. Raw NanoString data can be imported in the form of Reporter Code Count (RCC) files.
| Version: | 0.6.1 |
| Depends: | R (≥ 4.2) |
| Imports: | assertthat,ccaPP,dplyr,purrr,rlang,tibble,tidyr |
| Suggests: | covr,knitr,rmarkdown,testthat |
| Published: | 2025-05-05 |
| DOI: | 10.32614/CRAN.package.nanostringr |
| Author: | Derek Chiu [aut, cre], Aline Talhouk [aut], Samuel Leung [aut] |
| Maintainer: | Derek Chiu <dchiu at bccrc.ca> |
| BugReports: | https://github.com/TalhoukLab/nanostringr/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/TalhoukLab/nanostringr/,https://talhouklab.github.io/nanostringr/ |
| NeedsCompilation: | no |
| Citation: | nanostringr citation info |
| Materials: | NEWS |
| In views: | Omics |
| CRAN checks: | nanostringr results |
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