Tuning parameter estimation in SCAD-support vector machine using firefly algorithm with application in gene selection and cancer classification

In cancer classification, gene selection is one of the most important bioinformatics related topics. The selection of genes can be considered to be a variable selection problem, which aims to find a small subset of genes that has the most discriminative information for the classification target. The...

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Bibliographic Details
Published in:	Computers in biology and medicine Vol. 103; pp. 262 - 268
Main Authors:	Al-Thanoon, Niam Abdulmunim, Qasim, Omar Saber, Algamal, Zakariya Yahya
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01-12-2018 Elsevier Limited
Subjects:	Algorithms Autism Bioinformatics Cancer Cancer classification Classification Datasets Efficiency Fines & penalties Firefly algorithm Gene expression Gene selection Genes Heuristic methods Mathematical functions Methods Ovarian cancer Parameter estimation Penalized support vector machine SCAD Support vector machines Tuning Gene selection SCAD Cancer classification Firefly algorithm Penalized support vector machine
Online Access:	Get full text
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