TalhoukLab/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.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.4.9000
URL https://github.com/TalhoukLab/nanostringr https://talhouklab.github.io/nanostringr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("TalhoukLab/nanostringr")
TalhoukLab/nanostringr documentation built on Oct. 31, 2019, 12:11 a.m.