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: | 0.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | assertthat, ccaPP, dplyr, epiR, magrittr, purrr, rlang |
Suggests: | covr, knitr, rmarkdown, testthat |
Published: | 2021-02-06 |
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 + file LICENSE |
URL: | https://github.com/TalhoukLab/nanostringr/, https://talhouklab.github.io/nanostringr/ |
NeedsCompilation: | no |
Citation: | nanostringr citation info |
Materials: | NEWS |
CRAN checks: | nanostringr results |
Reference manual: | nanostringr.pdf |
Vignettes: |
nanostringr Vignettes |
Package source: | nanostringr_0.2.0.tar.gz |
Windows binaries: | r-devel: nanostringr_0.2.0.zip, r-release: nanostringr_0.2.0.zip, r-oldrel: nanostringr_0.2.0.zip |
macOS binaries: | r-release: nanostringr_0.2.0.tgz, r-oldrel: nanostringr_0.2.0.tgz |
Old sources: | nanostringr archive |
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