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TSGS

1.0.1

Trait Specific Gene Selection using SVM and GA

0packages depend
2.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Sudhir SrivastavaFirst published 2021-09-082 releasesCRAN page ↗GitHub ↗

Obtaining relevant set of trait specific genes from gene expression data is important for clinical diagnosis of disease and discovery of disease mechanisms in plants and animals. This process involves identification of relevant genes and removal of redundant genes as much as possible from a whole gene set. This package returns the trait specific gene set from the high dimensional RNA-seq count data by applying combination of two conventional machine learning algorithms, support vector machine (SVM) and genetic algorithm (GA). GA is used to control and optimize the subset of genes sent to the SVM for classification and evaluation. Genetic algorithm uses repeated learning steps and cross validation over number of possible solution and selects the best. The algorithm selects the set of genes based on a fitness function that is obtained via support vector machines. Using SVM as the classifier performance and the genetic algorithm for feature selection, a set of trait specific gene set is obtained.

Install

Health

CRAN checks
13OK
Slowest check: 5.1 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
6
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 4 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-17
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-04-16
    13 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.4K
CRAN downloads in the past year
Rank #14,913 · ~7/day · ~203/mo
Daily download trend is not available in this view yet.
23730 days
71490 days
2.4K1 year
Compare downloads with other packages →
Also on103 r2u

Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
1Releases
7Commits
2Contributors
7 commits · Last activity 2021-08-27

Releases over time

2021-08-11 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/sudhirsrivastava/tsgs on 2026-08-23.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Maintainer, Author
Authors (4)
Maintainer, Author
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.1Latest
    2026-07-07 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2021-09-08
Total releases
2 / 5 yrs
License
GPL-2 | GPL-3 OSI
Download size
43 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TSGS")
Srivastava, S., Chaturvedi, K. K., Farooqi, M. S., & Mishra, D. C. (2026). TSGS: Trait Specific Gene Selection using SVM and GA (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.TSGS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 TSGS version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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