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PCLassoReg  

Group Regression Models for Risk Protein Complex Identification
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]
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 04 Apr. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for PCLassoReg
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