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RANKS
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]
[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 06 Nov. 2024.
Previous versions and publish date:
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
Functions, R codes and Examples using
the RANKS R package
Some associated functions: GBAmax . GBAsum . RANKS-package . RW.cv . RW . RWR . Utilities . do.GBA . do.RANKS . do.RW . do.RWR . do.loo.RANKS . find.optimal.thresh.cv . ker.score.classifier.cv . ker.score.classifier.holdout . ker.score.cv . kernel.functions . label.prop . multiple.RW.cv . multiple.ker.score.cv . multiple.ker.score.thresh.cv . rw.kernel-methods . score.multiple.vertex-methods . score.single.vertex-methods . weighted.score.multiple.vertex-methods . weighted.score.single.vertex-methods .
Some associated R codes: RANKS.1.1.R . Full RANKS package functions and examples
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