Cited by 9,954Gene expression and cancer classificationBreast Cancer Treatment StudiesFace and Expression Recognition

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Gene Selection for Cancer Classification using Support Vector Machines

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Guyon, Isabelle, Weston, Jason, Barnhill, Stephen, Vapnik, Vladimir·2002·Machine Learning

DOI 10.1023/a:1012487302797

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Authors: Guyon, I., Weston, J., Barnhill, S., & Vapnik, V.
Affiliations: Georgia Institute of Technology (US)
AT&T (United States) (US)
Corresponding author: Guyon, Isabelle
Vapnik, Vladimir
ORCID: Guyon, Isabelle
Venue: Machine Learning
Publisher: Springer Science and Business Media LLC
Published: 2002-01
Volume: 46
Issue: 1-3
Pages: 389-422
ISSN: 0885-6125 (ISSN-L)
1573-0565
DOI: 10.1023/a:1012487302797
OpenAlex: W2143426320
Cited by: 9,954
References: 48
Citations by year: 2026: 553 · 2025: 676 · 2024: 564 · 2023: 586 · 2022: 576 · 2021: 695 · 2020: 607 · 2019: 571 · 2018: 488 · 2017: 478 · 2016: 408 · 2015: 444 · 2014: 400 · 2013: 400 · 2012: 359
FWCI: 38.69
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Machine Learning (publishedVersion)
Funders: Delft Research Centres
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
Keywords: gene selection, cancer classification, DNA microarrays, gene expression data, recursive feature elimination, support vector machine, leukemia, colon cancer, gene redundancy, genetic diagnosis, drug discovery

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Gene Selection for Cancer Classification using Support Vector Machines

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