HSSVD: Biclustering with Heterogeneous Variance
Version 1.2

A data mining tool for discovering subgroups of patients and genes that simultaneously display unusual levels of variability compared to other genes and patients. Based on sparse singular value decomposition (SSVD), the method can detect both mean and variance biclusters in the presence of heterogeneous residual variance.

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AuthorGuanhua Chen [aut, cre], Michael Kosorok [aut], Shannon Holloway [ctb]
Date of publication2014-12-04 19:00:48
MaintainerGuanhua Chen <guanhuac@live.unc.edu>
LicenseGPL-2
Version1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("HSSVD")

Man pages

HSSVD-package: Biclustering with heterogeneous variance
low_rank: Implementation of HSSVD framework for biclusering with...
Methylation: Methylation Data in cancer versus normal patients

Functions

First Source code
HSSVD Man page
HSSVD-package Man page
Huber Source code
Methylation Man page
SSVD.iter.thresh Source code
ast Source code
consistent.signs Source code
error.est.full Source code
hard.thresh Source code
hard.thresh.scalar Source code
initialization Source code
layer.find Source code
low_rank Man page Source code
onestep Source code
rank_est Source code
select.indices Source code
soft.thresh Source code
soft.thresh.scalar Source code
subsp.dist.orth Source code

Files

NAMESPACE
data
data/Methylation.rda
data/datalist
R
R/SSVD.iter.thresh.R
R/initialization.R
R/Huber.R
R/subsp.dist.orth.R
R/error.est.full.R
R/consistent.signs.R
R/hard.thresh.R
R/onestep.R
R/soft.thresh.R
R/select.indices.R
R/soft.thresh.scalar.R
R/low_rank.R
R/layer.find.R
R/rank_est.R
R/hard.thresh.scalar.R
R/HSSVD-internal.R
MD5
DESCRIPTION
man
man/HSSVD-package.Rd
man/Methylation.Rd
man/low_rank.Rd
HSSVD documentation built on May 19, 2017, 3:38 p.m.