Bioconductor-mirror/NanoStringQCPro: Quality metrics and data processing methods for NanoString mRNA gene expression data

NanoStringQCPro provides a set of quality metrics that can be used to assess the quality of NanoString mRNA gene expression data -- i.e. to identify outlier probes and outlier samples. It also provides different background subtraction and normalization approaches for this data. It outputs suggestions for flagging samples/probes and an easily sharable html quality control output.

Getting started

Package details

AuthorDorothee Nickles <[email protected]>, Thomas Sandmann <[email protected]>, Robert Ziman <[email protected]>, Richard Bourgon <[email protected]>
Bioconductor views Microarray Normalization Preprocessing QualityControl ReportWriting mRNAMicroarray
MaintainerRobert Ziman <[email protected]>
LicenseArtistic-2.0
Version1.9.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/NanoStringQCPro")
Bioconductor-mirror/NanoStringQCPro documentation built on May 31, 2017, 9:34 p.m.