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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics

In bioinformatics, medical diagnosis models might be significantly impacted by high-dimensional data generated by high-throughput technologies. This data includes redundant or irrelevant genes, making it challenging to identify the relevant genes from such high-dimensional data. Therefore, an effect...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Features selection
multi-objective optimization
cuckoo search algorithm
machine learning
data mining
bioinformatics
Online-Zugang:https://ieeexplore.ieee.org/document/10419347/
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