Other packages > Find by keyword >

RANKS  

Ranking of Nodes with Kernelized Score Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RANKS", "1.1")



Attach the package and use:
library("RANKS")
Maintained by
Giorgio Valentini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-10
Latest Update: 2022-09-20
Description:
Implementation of Kernelized score functions and other semi-supervised learning algorithms for node label ranking to analyze biomolecular networks. RANKS can be easily applied to a large set of different relevant problems in computational biology, ranging from automatic protein function prediction, to gene disease prioritization and drug repositioning, and more in general to any bioinformatics problem that can be formalized as a node label ranking problem in a graph. The modular nature of the implementation allows to experiment with different score functions and kernels and to easily compare the results with baseline network-based methods such as label propagation and random walk algorithms, as well as to enlarge the algorithmic scheme by adding novel user-defined score functions and kernels.
How to cite:
Giorgio Valentini (2015). RANKS: Ranking of Nodes with Kernelized Score Functions. R package version 1.1, https://cran.r-project.org/web/packages/RANKS. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:18), 1.0 (2015-12-10 10:04)
Other packages that cited RANKS R package
View RANKS citation profile
Other R packages that RANKS depends, imports, suggests or enhances
Complete documentation for RANKS
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
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  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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