PCLassoReg: Group Regression Models for Risk Protein Complex Identification
Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex identification. PCLasso is a prognostic model that identifies risk protein complexes associated with survival. PCLasso2 is a classification model that identifies risk protein complexes associated with classes. For more information, see Wang and Liu (2021) <doi:10.1093/bib/bbab212>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | survival, grpreg |
| Suggests: | rmarkdown, knitr |
| Published: | 2021-10-26 |
| Author: | Wei Liu  [aut,
cre] |
| Maintainer: | Wei Liu <freelw at qq.com> |
| BugReports: | https://github.com/weiliu123/PCLassoReg/issues |
| License: | GPL-3 |
| URL: | https://github.com/weiliu123/PCLassoReg |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PCLassoReg results |
Documentation:
| Reference manual: | PCLassoReg.pdf |
| Vignettes: |
PCLassoReg |
Downloads:
| Package source: | PCLassoReg_1.0.0.tar.gz |
| Windows binaries: | r-devel: PCLassoReg_1.0.0.zip, r-release: PCLassoReg_1.0.0.zip, r-oldrel: PCLassoReg_1.0.0.zip |
| macOS binaries: | r-release (arm64): PCLassoReg_1.0.0.tgz, r-oldrel (arm64): PCLassoReg_1.0.0.tgz, r-release (x86_64): PCLassoReg_1.0.0.tgz, r-oldrel (x86_64): PCLassoReg_1.0.0.tgz |
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