Review on feature selection methods for gene expression data classification

Talal Almutiri; Faisal Saeed

doi:10.1007/978-3-030-33582-3_3

Review on feature selection methods for gene expression data classification

Talal Almutiri^*, Faisal Saeed

^*Corresponding author for this work

Taibah University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (SciVal)

Original language	English
Title of host publication	Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing
Editors	Faisal Saeed, Fathey Mohammed, Nadhmi Gazem
Publisher	Springer
Pages	24-34
Number of pages	11
ISBN (Print)	9783030335816
DOIs	https://doi.org/10.1007/978-3-030-33582-3_3
Publication status	Published (VoR) - 2020
Event	4th International Conference of Reliable Information and Communication Technology, IRICT 2019 - Johor Bahru, Malaysia Duration: 22 Sept 2019 → 23 Sept 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1073
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	4th International Conference of Reliable Information and Communication Technology, IRICT 2019
Country/Territory	Malaysia
City	Johor Bahru
Period	22/09/19 → 23/09/19

Keywords

Cancer classification
Feature selection
Gene expression
Microarray data

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10.1007/978-3-030-33582-3_3

Cite this

Almutiri, T., & Saeed, F. (2020). Review on feature selection methods for gene expression data classification. In F. Saeed, F. Mohammed, & N. Gazem (Eds.), Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing (pp. 24-34). (Advances in Intelligent Systems and Computing; Vol. 1073). Springer. https://doi.org/10.1007/978-3-030-33582-3_3

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title = "Review on feature selection methods for gene expression data classification",

keywords = "Cancer classification, Feature selection, Gene expression, Microarray data",

author = "Talal Almutiri and Faisal Saeed",

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Almutiri, T & Saeed, F 2020, Review on feature selection methods for gene expression data classification. in F Saeed, F Mohammed & N Gazem (eds), Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. Advances in Intelligent Systems and Computing, vol. 1073, Springer, pp. 24-34, 4th International Conference of Reliable Information and Communication Technology, IRICT 2019, Johor Bahru, Malaysia, 22/09/19. https://doi.org/10.1007/978-3-030-33582-3_3

Review on feature selection methods for gene expression data classification. / Almutiri, Talal; Saeed, Faisal.
Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. ed. / Faisal Saeed; Fathey Mohammed; Nadhmi Gazem. Springer, 2020. p. 24-34 (Advances in Intelligent Systems and Computing; Vol. 1073).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Review on feature selection methods for gene expression data classification

AU - Almutiri, Talal

AU - Saeed, Faisal

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

KW - Cancer classification

KW - Feature selection

KW - Gene expression

KW - Microarray data

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M3 - Conference contribution

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T3 - Advances in Intelligent Systems and Computing

SP - 24

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BT - Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing

A2 - Saeed, Faisal

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A2 - Gazem, Nadhmi

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T2 - 4th International Conference of Reliable Information and Communication Technology, IRICT 2019

Y2 - 22 September 2019 through 23 September 2019

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Almutiri T, Saeed F. Review on feature selection methods for gene expression data classification. In Saeed F, Mohammed F, Gazem N, editors, Emerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing. Springer. 2020. p. 24-34. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-33582-3_3

Review on feature selection methods for gene expression data classification

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