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QuantNorm  

Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("QuantNorm", "1.0.5")



Attach the package and use:
library("QuantNorm")
Maintained by
Teng Fei
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-06
Latest Update: 2019-02-01
Description:
Modifies the distance matrix obtained from data with batch effects, so as to improve the performance of sample pattern detection, such as clustering, dimension reduction, and construction of networks between subjects. The method has been published in Bioinformatics (Fei et al, 2018, ). Also available on 'GitHub' .
How to cite:
Teng Fei (2018). QuantNorm: Mitigating the Adverse Impact of Batch Effects in Sample Pattern Detection. R package version 1.0.5, https://cran.r-project.org/web/packages/QuantNorm. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:17), 1.0.3 (2018-03-06 19:53), 1.0.5 (2019-02-01 21:23)
Other packages that cited QuantNorm R package
View QuantNorm citation profile
Other R packages that QuantNorm depends, imports, suggests or enhances
Complete documentation for QuantNorm
Functions, R codes and Examples using the QuantNorm R package
Some associated functions: ENCODE . QuantNorm . brain . connection.matrix . 
Some associated R codes: QuantNorm.R . connection.R . qnorm.R . qnorm1.R . qnorm1plus.R . qnorm2.R . standardization.R . zp.quantile.R .  Full QuantNorm package functions and examples
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