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RCRnorm  

An Integrated Regression Model for Normalizing 'NanoString nCounter' Data
View on CRAN: Click here


Download and install RCRnorm package within the R console
Install from CRAN:
install.packages("RCRnorm")

Install from Github:
library("remotes")
install_github("cran/RCRnorm")

Install by package version:
library("remotes")
install_version("RCRnorm", "0.0.2")



Attach the package and use:
library("RCRnorm")
Maintained by
Gaoxiang Jia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-15
Latest Update: 2018-02-22
Description:
'NanoString nCounter' is a medium-throughput platform that measures gene or microRNA expression levels. Here is a publication that introduces this platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of 'NanoString nCounter' where you can find detailed information about this platform <https://www.nanostring.com/scientific-content/technology-overview/ncounter-technology>. It has great clinical application, such as diagnosis and prognosis of cancer. Implements integrated system of random-coefficient hierarchical regression model to normalize data from 'NanoString nCounter' platform so that noise from various sources can be removed.
How to cite:
Gaoxiang Jia (2018). RCRnorm: An Integrated Regression Model for Normalizing 'NanoString nCounter' Data. R package version 0.0.2, https://cran.r-project.org/web/packages/RCRnorm
Previous versions and publish date:
0.0.1 (2018-01-15 16:51)
Other packages that cited RCRnorm R package
View RCRnorm citation profile
Other R packages that RCRnorm depends, imports, suggests or enhances
Functions, R codes and Examples using the RCRnorm R package
Some associated functions: FFPE_dat . RCRnorm . 
Some associated R codes: FFPE_dat.R . RCRnorm.R .  Full RCRnorm package functions and examples
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