Other packages > Find by keyword >

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]
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
Other packages that cited PCLassoReg R package
View PCLassoReg citation profile
Other R packages that PCLassoReg depends, imports, suggests or enhances
Complete documentation for PCLassoReg
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

h0  
A Robust Bayesian Meta-Analysis for Estimating the Hubble Constant via Time Delay Cosmography
We provide a toolbox to conduct a Bayesian meta-analysis for estimating the current expansion rate o ...
Download / Learn more Package Citations See dependency  
poisson  
Simulating Homogenous & Non-Homogenous Poisson Processes
Contains functions and classes for simulating, plotting and analysing homogenous and non-homogenous ...
Download / Learn more Package Citations See dependency  
LogicReg  
Logic Regression
Routines for fitting Logic Regression models. Logic Regression is described in Ruczinski, Kooperber ...
Download / Learn more Package Citations See dependency  
prediction  
Tidy, Type-Safe 'prediction()' Methods
A one-function package containing 'prediction()', a type-safe alternative to 'predict()' that always ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
mnj  
Machine Learning and Judgement
Perform FlexBoost in R. FlexBoost is a newly suggested algorithm based on AdaBoost by adjusting adap ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,713

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA