FS-SVM: A Synergistic Approach to High-Dimensional Feature Selection

Supervised classification in high-dimensional gene expression datasets is frequently used in bio-informatics studies. Feature selection plays an important role in such type of classification problems to avoid over-fitting and to develop a more reliable classifier for the problem at hand. This paper...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Inzamam Ul Haq, Muhammad Hamraz, Salman Jan, Dost Muhammad Khan, Nadeem Iqbal, Zardad Khan
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Classification genes selection high dimensional gene expression datasets weighted fisher score
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11104109/