HSSVD: Biclustering with Heterogeneous Variance

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.

Version: 1.2
Depends: R (≥ 2.10), bcv
Published: 2014-12-04
Author: Guanhua Chen [aut, cre], Michael Kosorok [aut], Shannon Holloway [ctb]
Maintainer: Guanhua Chen <guanhuac at live.unc.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: HSSVD results


Reference manual: HSSVD.pdf
Package source: HSSVD_1.2.tar.gz
Windows binaries: r-devel: HSSVD_1.2.zip, r-release: HSSVD_1.2.zip, r-oldrel: HSSVD_1.2.zip
OS X El Capitan binaries: r-release: HSSVD_1.2.tgz
OS X Mavericks binaries: r-oldrel: HSSVD_1.2.tgz
Old sources: HSSVD archive


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