Weighted L1-norm logistic regression for gene selection of microarray gene expression classification

Weighted L1-norm logistic regression for gene selection of microarray gene expression classification

The classification of cancer is a significant application of the DNA microarray data. Gene selection methods are ordinarily used handle the issue of high-dimensionality of microarray data to enable experts to diagnose and classify cancer with high accuracy. The penalized logistic regression (PLR) te...

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Bibliographic Details
Main Authors:	Alharthi, Aiedh Mrisi, Lee, Muhammad Hisyam, Algamal, Zakariya Yahya
Format:	Article
Language:	English
Published:	Insight Society 2020
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/92655/1/AiedhMrisiAlharthi2020_WeightedL1NormLogisticRegression.pdf

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