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Ranking of Nodes with Kernelized Score Functions

0packages depend
2.8Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
File ‘RANKS/libs/RANKS.so’:
  Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

CRAN check page ↗

Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
26includes a package overview page
Examples that run
80%20 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
31%

Downloads

2.8K
CRAN downloads in the past year
Rank #15,483 · ~8/day · ~236/mo
Daily download trend is not available in this view yet.
28830 days
79190 days
2.8K1 year
Compare downloads with other packages →
Also on341 r2u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing RANKS adds 2 packages (2 with compiled code, 274 KB of source tarballs). Heaviest: PerfMeas 265 KB, NetPreProc 8.8 KB. 3 more not on CRAN are not measured.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer · added in 1.1

Maintainer since 1.0 (2015)

Listed in earlier versions (3)
Show 3 peopleHide 3 people
Giorgio Valentini -- AnacletoLab
no longer listed · 1.0
Dipartimento di Informatica
no longer listed · 1.0
Universita' degli Studi di Milano
no longer listed · 1.0
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-09-21
  • 1.1Latest
    record
    2022-09-21 · current release · diff ↗
  • archivedRemoved from CRAN
    2022-05-23
    requires archived package 'PerfMeas'
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0
    record
    2015-12-10
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-12-10
Total releases
2 / 11 yrs
License
GPL (>= 2) OSI
Download size
291 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RANKS")
Valentini, G. (2022). RANKS: Ranking of Nodes with Kernelized Score Functions (Version 1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.RANKS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RANKS version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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