Multiclass Response Feature Selection and Cancer Tumour Classification With Support Vector Machine

Background & Aim: In this study, efficient Support Vector Machine (SVM) algorithm for feature selection and classification of multi-category tumour classes of biological samples using gene expression profiles was proposed. Methods: Feature selection interface of the algorithm employed the F-sta...

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Bibliographic Details
Main Authors: Alabi Waheed Banjoko, Waheed Babatunde Yahya, Mohammed Kabir Garba
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-01-01
Series:Journal of Biostatistics and Epidemiology
Subjects:
Online Access:https://jbe.tums.ac.ir/index.php/jbe/article/view/301