An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data

Feature selection is critical in analyzing microarray data, which has many features (genes) or dimensions. However, with only a few samples the large search space and time consumed during their selection make selecting relevant and informative genes that improve classification performance a complex...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Passent El Kafrawy, Hanaa Fathi, Mohammed Qaraad, Ayda K. Kelany, Xumin Chen
Format: article
Langue:EN
Publié: IEEE 2021
Sujets:
Accès en ligne:https://doaj.org/article/fc9ce6eb64744b63be5363e9993b5579
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!