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MMDvariance  

Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MMDvariance", "0.0.9")



Attach the package and use:
library("MMDvariance")
Maintained by
Weiliang Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-27
Latest Update: 2018-07-27
Description:
Gene selection based on variance using the marginal distributions of gene profiles that characterized by a mixture of three-component multivariate distributions. Please see the reference: Li X, Fu Y, Wang X, DeMeo DL, Tantisira K, Weiss ST, Qiu W. (2018) .
How to cite:
Weiliang Qiu (2018). MMDvariance: Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions. R package version 0.0.9, https://cran.r-project.org/web/packages/MMDvariance. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Other R packages that MMDvariance depends, imports, suggests or enhances
Complete documentation for MMDvariance
Functions, R codes and Examples using the MMDvariance R package
Some associated functions: gsMMD.v . plotHistDensity.v . 
Some associated R codes: Qfunc.R . getPara.R . gsMMD.R . gsMMD2.R . iniMemGenesTestFunc.R . leveneTest.R . myAWvar.R . myBFTest.R . myFTest.R . myLevene.TM.R . myLeveneTest.R . myiAWvar.BF.R . myiAWvar.Levene.R . myiAWvar.TM.R . paraEst.R . trans.R . visual.R . wiFun.R .  Full MMDvariance package functions and examples
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