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) . 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.


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0.1.1 by Derek Chiu, a day ago,

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Authors: Derek Chiu [aut, cre] , Aline Talhouk [aut] , Samuel Leung [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports assertthat, ccaPP, dplyr, magrittr, purrr, readr, rlang, tibble

Suggests covr, epiR, ggplot2, knitr, pander, rmarkdown, stringr, testthat, tidyr

See at CRAN