Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

Oluwabukunmi Oyegbile; Faisal Saeed; Samer Bamansoor

doi:10.1007/978-3-031-59707-7_26

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Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

Oluwabukunmi Oyegbile Faisal Saeed Samer Bamansoor

Year: 2024 Lecture notes on data engineering and communications technologies Pages: 293-305 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-59707-7_26

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Keywords:

Feature selection Pattern recognition (psychology) Computer science Data mining Selection (genetic algorithm) Filter (signal processing) Artificial intelligence Feature (linguistics) Microarray analysis techniques Biology Computer vision Gene Genetics Gene expression

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

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