Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Guanhua Chen [aut, cre], Michael Kosorok [aut], Shannon Holloway [ctb] |
| Maintainer | Guanhua Chen <guanhuac@live.unc.edu> |
| License | GPL-2 |
| Version | 1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the HSSVD package in your browser
Any scripts or data that you put into this service are public.
