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 |
| macOS binaries: | r-release: HSSVD_1.2.tgz, r-oldrel: HSSVD_1.2.tgz |
| Old sources: | HSSVD archive |
Please use the canonical form https://CRAN.R-project.org/package=HSSVD to link to this page.