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Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification.

Publicado en:Medical & Biological Engineering & Computing Vol. 60; no. 3; pp. 663 - 682
Autores principales: Deng, Xiongshi, Li, Min, Deng, Shaobo, Wang, Lei
Formato: Journal Article
Publicado: Springer Nature Mar2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2022
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      pub: Springer Nature
      place: New York, New York
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        atl: Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification.
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          Deng, Xiongshi
          Li, Min
          Deng, Shaobo
          Wang, Lei
        affil: School of Information Engineering, Nanchang Institute of Technology, 330099, Jiangxi, People's Republic of China
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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