Literature DB >> 22942017

FSelector: a Ruby gem for feature selection.

Tiejun Cheng1, Yanli Wang, Stephen H Bryant.   

Abstract

SUMMARY: The FSelector package contains a comprehensive list of feature selection algorithms for supporting bioinformatics and machine learning research. FSelector primarily collects and implements the filter type of feature selection techniques, which are computationally efficient for mining large datasets. In particular, FSelector allows ensemble feature selection that takes advantage of multiple feature selection algorithms to yield more robust results. FSelector also provides many useful auxiliary tools, including normalization, discretization and missing data imputation. AVAILABILITY: FSelector, written in the Ruby programming language, is free and open-source software that runs on all Ruby supporting platforms, including Windows, Linux and Mac OS X. FSelector is available from https://rubygems.org/gems/fselector and can be installed like a breeze via the command gem install fselector. The source code is available (https://github.com/need47/fselector) and is fully documented (http://rubydoc.info/gems/fselector/frames).

Mesh:

Year:  2012        PMID: 22942017      PMCID: PMC3476337          DOI: 10.1093/bioinformatics/bts528

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

Review 1.  Filter versus wrapper gene selection approaches in DNA microarray domains.

Authors:  Iñaki Inza; Pedro Larrañaga; Rosa Blanco; Antonio J Cerrolaza
Journal:  Artif Intell Med       Date:  2004-06       Impact factor: 5.326

Review 2.  A review of feature selection techniques in bioinformatics.

Authors:  Yvan Saeys; Iñaki Inza; Pedro Larrañaga
Journal:  Bioinformatics       Date:  2007-08-24       Impact factor: 6.937

3.  BioRuby: bioinformatics software for the Ruby programming language.

Authors:  Naohisa Goto; Pjotr Prins; Mitsuteru Nakao; Raoul Bonnal; Jan Aerts; Toshiaki Katayama
Journal:  Bioinformatics       Date:  2010-08-25       Impact factor: 6.937

4.  An introduction to scripting in Ruby for biologists.

Authors:  Jan Aerts; Andy Law
Journal:  BMC Bioinformatics       Date:  2009-07-16       Impact factor: 3.169

  4 in total
  11 in total

1.  Interactions of Oral Molecular Excipients with Breast Cancer Resistance Protein, BCRP.

Authors:  Ling Zou; Joshua Pottel; Natalia Khuri; Huy X Ngo; Zhanglin Ni; Eleftheria Tsakalozou; Mark S Warren; Yong Huang; Brian K Shoichet; Kathleen M Giacomini
Journal:  Mol Pharm       Date:  2020-02-10       Impact factor: 4.939

2.  Discriminative identification of transcriptional responses of promoters and enhancers after stimulus.

Authors:  Dimitrios Kleftogiannis; Panos Kalnis; Erik Arner; Vladimir B Bajic
Journal:  Nucleic Acids Res       Date:  2017-02-28       Impact factor: 16.971

3.  DWFS: a wrapper feature selection tool based on a parallel genetic algorithm.

Authors:  Othman Soufan; Dimitrios Kleftogiannis; Panos Kalnis; Vladimir B Bajic
Journal:  PLoS One       Date:  2015-02-26       Impact factor: 3.240

4.  Statistical Approach for Gene Set Analysis with Trait Specific Quantitative Trait Loci.

Authors:  Samarendra Das; Anil Rai; D C Mishra; Shesh N Rai
Journal:  Sci Rep       Date:  2018-02-05       Impact factor: 4.379

5.  Development of a predictive model for stromal content in prostate cancer samples to improve signature performance.

Authors:  Nadia Boufaied; Mandeep Takhar; Claire Nash; Nicholas Erho; Tarek A Bismar; Elai Davicioni; Axel A Thomson
Journal:  J Pathol       Date:  2019-10-16       Impact factor: 7.996

6.  MALDI-TOF mass spectrometry of saliva samples as a prognostic tool for COVID-19.

Authors:  Lucas C Lazari; Rodrigo M Zerbinati; Livia Rosa-Fernandes; Veronica Feijoli Santiago; Klaise F Rosa; Claudia B Angeli; Gabriela Schwab; Michelle Palmieri; Dmitry J S Sarmento; Claudio R F Marinho; Janete Dias Almeida; Kelvin To; Simone Giannecchini; Carsten Wrenger; Ester C Sabino; Herculano Martinho; José A L Lindoso; Edison L Durigon; Paulo H Braz-Silva; Giuseppe Palmisano
Journal:  J Oral Microbiol       Date:  2022-02-27       Impact factor: 5.474

7.  Analysis of Effectiveness of a Supplement Combining Harpagophytum procumbens, Zingiber officinale and Bixa orellana in Healthy Recreational Runners with Self-Reported Knee Pain: A Pilot, Randomized, Triple-Blind, Placebo-Controlled Trial.

Authors:  Marcela González-Gross; Carlos Quesada-González; Javier Rueda; Manuel Sillero-Quintana; Nicolas Issaly; Angel Enrique Díaz; Eva Gesteiro; David Escobar-Toledo; Rafael Torres-Peralta; Marc Roller; Amelia Guadalupe-Grau
Journal:  Int J Environ Res Public Health       Date:  2021-05-22       Impact factor: 3.390

8.  In silico prediction of novel therapeutic targets using gene-disease association data.

Authors:  Enrico Ferrero; Ian Dunham; Philippe Sanseau
Journal:  J Transl Med       Date:  2017-08-29       Impact factor: 5.531

9.  Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning.

Authors:  Jie Song; Jingjing Zhai; Enze Bian; Yujia Song; Jiantao Yu; Chuang Ma
Journal:  Front Plant Sci       Date:  2018-04-18       Impact factor: 5.753

10.  Prognostic accuracy of MALDI-TOF mass spectrometric analysis of plasma in COVID-19.

Authors:  Lucas Cardoso Lazari; Fabio De Rose Ghilardi; Livia Rosa-Fernandes; Diego M Assis; José Carlos Nicolau; Veronica Feijoli Santiago; Talia Falcão Dalçóquio; Claudia B Angeli; Adriadne Justi Bertolin; Claudio Rf Marinho; Carsten Wrenger; Edison Luiz Durigon; Rinaldo Focaccia Siciliano; Giuseppe Palmisano
Journal:  Life Sci Alliance       Date:  2021-06-24
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