Other packages > Find by keyword >

RPWNSC  

Run Purity Weighted Nearest Shrunken Centroid Feature Selection
View on CRAN: Click here


Download and install RPWNSC package within the R console
Install from CRAN:
install.packages("RPWNSC")

Install from Github:
library("remotes")
install_github("cran/RPWNSC")

Install by package version:
library("remotes")
install_version("RPWNSC", "0.1.0")



Attach the package and use:
library("RPWNSC")
Maintained by
Amjad Ali
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-21
Latest Update: 2026-07-21
Description:
Provides a classifier independent filter method for high-dimensional gene-expression feature selection. The Run Purity Weighted Nearest Shrunken Centroid ('RPWNSC') score ranks genes by multiplying a run based purity score, which measures the compactness of class labels after sorting samples by each feature, by a scaled nearest shrunken centroid score, which measures standardized class centroid separation relative to within class variation. The top ranked features can then be used with downstream classifiers without wrapper search, feature clustering, or classifier dependent training. 'Amjad Ali, Zardad Khan, Saeed Aldahmani' (2026) <doi:10.1016/j.mlwa.2026.100947>.
How to cite:
Amjad Ali (2026). RPWNSC: Run Purity Weighted Nearest Shrunken Centroid Feature Selection. R package version 0.1.0, https://cran.r-project.org/web/packages/RPWNSC. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited RPWNSC R package
View RPWNSC citation profile
Other R packages that RPWNSC depends, imports, suggests or enhances
Complete documentation for RPWNSC
Functions, R codes and Examples using the RPWNSC R package
Full RPWNSC package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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