nanostringr: Performs Quality Control, Data Normalization, and Batch Effect Correction 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: 0.4.2
Depends: R (≥ 3.5.0)
Imports: assertthat, ccaPP, dplyr, purrr, rlang, tidyr
Suggests: covr, knitr, magrittr, rmarkdown, testthat
Published: 2024-06-11
DOI: 10.32614/CRAN.package.nanostringr
Author: Derek Chiu ORCID iD [aut, cre], Aline Talhouk ORCID iD [aut], Samuel Leung ORCID iD [aut]
Maintainer: Derek Chiu <dchiu at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: nanostringr citation info
Materials: NEWS
In views: Omics
CRAN checks: nanostringr results


Reference manual: nanostringr.pdf
Vignettes: nanostringr Package


Package source: nanostringr_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): nanostringr_0.4.2.tgz, r-oldrel (arm64): nanostringr_0.4.2.tgz, r-release (x86_64): nanostringr_0.4.2.tgz, r-oldrel (x86_64): nanostringr_0.4.2.tgz
Old sources: nanostringr archive


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