Detecting Differentially Variable Genes Using the Mixture of Marginal Distributions

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) .


News

v0.0.9 created on July 22, 2018

(1) drop 'dontrun' in 'plotHistDensity.v.Rd'

v0.0.8 created on July 21, 2018

(1) added doi info in DESCRIPTION file

(2) dropped 'dontrun' in 'gsMMD.v.Rd'

v0.0.7 created on July 15, 2018

(1) add reference

(2) remove inst subdirectory

v0.0.6 created on Dec. 10, 2017

(1) unify the input and output formats of equal-variance tests

(2) new initial equal variance tests include:

"myFTest", "myLeveneTest",

"myLevene.TM", "myBFTest", "myAWvar",

"myiAWvar.BF", "myiAWvar.Levene", "myiAWvar.TM"

v0.0.5 created on Dec. 5, 2017

# (1) add "BFtest", "iAWvar.BF", "iAWvar.Levene",

"iAWvar.TrimMean" to gsMMD.v

v0.0.4 created on Nov. 3, 2017

# (1) set R depenence to v3.4.0

v0.0.1 created on June 28, 2012

(1) select genes based on variance, instead of mean

Reference manual

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install.packages("MMDvariance")

0.0.9 by Weiliang Qiu, a year ago


Browse source code at https://github.com/cran/MMDvariance


Authors: Xuan Li [aut, ctb] , Yuejiao Fu [aut, ctb] , Xiaogang Wang [aut, ctb] , Dawn L. DeMeo [aut, ctb] , Kelan Tantisira [aut, ctb] , Scott T. Weiss [aut, ctb] , Weiliang Qiu [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MASS, graphics, stats

Depends on Biobase, lawstat

Suggests ALL


See at CRAN