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COCONUT  

COmbat CO-Normalization Using conTrols (COCONUT)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("COCONUT", "1.0.2")



Attach the package and use:
library("COCONUT")
Maintained by
Timothy E Sweeney
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-14
Latest Update: 2017-09-19
Description:
Allows for pooled analysis of microarray data by batch-correcting control samples, and then applying the derived correction parameters to non-control samples to obtain bias-free, inter-dataset corrected data.
How to cite:
Timothy E Sweeney (2016). COCONUT: COmbat CO-Normalization Using conTrols (COCONUT). R package version 1.0.2, https://cran.r-project.org/web/packages/COCONUT. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2016-06-29 23:29), 1.0 (2016-06-14 20:34)
Other packages that cited COCONUT R package
View COCONUT citation profile
Other R packages that COCONUT depends, imports, suggests or enhances
Complete documentation for COCONUT
Functions, R codes and Examples using the COCONUT R package
Some associated functions: COCONUT-package . COCONUT . COCONUT_test_data . combineCOCOoutput . 
Some associated R codes: COCONUT.R .  Full COCONUT package functions and examples
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