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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 analyzebiomolecular 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
Previous versions and publish date:
1.0 (2015-12-10 10:04)
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