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PCLassoReg
View on CRAN: Click
here
Download and install PCLassoReg package within the R console
Install from CRAN:
install.packages("PCLassoReg")
Install from Github:
library("remotes")
install_github("cran/PCLassoReg")
Install by package version:
library("remotes")
install_version("PCLassoReg", "1.0.0")
Attach the package and use:
library("PCLassoReg")
Maintained by
Wei Liu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-26
Latest Update: 2021-10-26
Description:
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) .
How to cite:
Wei Liu (2021). PCLassoReg: Group Regression Models for Risk Protein Complex Identification. R package version 1.0.0, https://cran.r-project.org/web/packages/PCLassoReg. Accessed 22 Feb. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that PCLassoReg depends,
imports, suggests or enhances
Complete documentation for PCLassoReg
Functions, R codes and Examples using
the PCLassoReg R package
Some associated functions: PCGroups . PCLasso . PCLasso2 . PCLassoReg . classData . cv.PCLasso . cv.PCLasso2 . getPCGroups . plot.PCLasso . plot.PCLasso2 . plot.cv.PCLasso . plot.cv.PCLasso2 . predict.PCLasso . predict.PCLasso2 . predict.cv.PCLasso . predict.cv.PCLasso2 . survivalData .
Some associated R codes: PCLasso.R . PCLasso2.R . PCLassoReg-package.R . cv.PCLasso.R . cv.PCLasso2.R . data.R . ext2GeneID.R . getPCGroups.R . plot.R . predict.R . Full PCLassoReg package functions and examples
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