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.

Install the latest version of this package by entering the following in R:
AuthorGuanhua Chen [aut, cre], Michael Kosorok [aut], Shannon Holloway [ctb]
Date of publication2014-12-04 19:00:48
MaintainerGuanhua Chen <guanhuac@live.unc.edu>

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.