Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem

Hybrid Symmetrical Uncertainty and Reference Set Harmony Search Algorithm for Gene Selection Problem

Selecting the most miniature possible set of genes from microarray datasets for clinical diagnosis and prediction is one of the most challenging machine learning tasks. A robust gene selection technique is required to identify the most significant subset of genes by removing spurious or non-predicti...

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Bibliographic Details
Main Authors: Salam Salameh Shreem, Mohd Zakree Ahmad Nazri, Salwani Abdullah, Nor Samsiah Sani
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
symmetrical uncertainty
reference set
harmony search algorithm
gene selection
Online Access:https://www.mdpi.com/2227-7390/10/3/374

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https://www.mdpi.com/2227-7390/10/3/374

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