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NormExpression
View on CRAN: Click
here
Download and install NormExpression package within the R console
Install from CRAN:
install.packages("NormExpression")
Install from Github:
library("remotes")
install_github("cran/NormExpression")
Install by package version:
library("remotes")
install_version("NormExpression", "0.1.1")
Attach the package and use:
library("NormExpression")
Maintained by
Shan Gao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-05
Latest Update: 2018-03-05
Description:
It provides a framework and a fast and simple way for researchers to evaluate methods (particularly some data-driven methods or their own methods) and then select a best one for data normalization in the gene expression analysis, based on the consistency of metrics and the consistency of datasets.
Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang, Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018) .
How to cite:
Shan Gao (2018). NormExpression: Normalize Gene Expression Data using Evaluated Methods. R package version 0.1.1, https://cran.r-project.org/web/packages/NormExpression
Previous versions and publish date:
0.1.0 (2018-03-05 19:39)
Other packages that cited NormExpression R package
View NormExpression citation profile
Other R packages that NormExpression depends,
imports, suggests or enhances
Functions, R codes and Examples using
the NormExpression R package
Some associated functions: CV2AUCVC . bkRNA18 . bkRNA18_factors . calcFactorRLE . calcFactorUpperquartile . calcFactorWeighted . change_colours . estimateSizeFactorsForMatrix . filteredZero . findGenes . gatherCVs . gatherCVs4Matrices . gatherCors . gatherCors4Matrices . gatherFactors . getAUCVC . getAUCVCs . getArea . getCV . getCor . getCorMedians . getFactors . getNormMatrix . gridAUCVC . gridAUCVC4Matrices . identifyUbq . identifyUbqRepeat . nonzeroRatio2AUCVC . optTU . plotCVs . plotCors . plotHC . scRNA663 . scRNA663_factors .
Some associated R codes: evaluateMetrics.R . normFactors.R . plotFunctions.R . Full NormExpression package functions and examples
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