Triclustering Implementation Using Hybrid <i>δ</i>-Trimax Particle Swarm Optimization and Gene Ontology Analysis on Three-Dimensional Gene Expression Data

Triclustering Implementation Using Hybrid <i>δ</i>-Trimax Particle Swarm Optimization and Gene Ontology Analysis on Three-Dimensional Gene Expression Data

Triclustering is a data mining method for grouping data based on similar characteristics. The main purpose of a triclustering analysis is to obtain an optimal tricluster, which has a minimum mean square residue (MSR) and a maximum tricluster volume. The triclustering method has been developed using...

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Bibliographic Details
Main Authors: Titin Siswantining, Maria Armelia Sekar Istianingrum, Saskya Mary Soemartojo, Devvi Sarwinda, Noval Saputra, Setia Pramana, Rully Charitas Indra Prahmana
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Mathematics
Subjects:
mean square residue
optimization
triclustering quality index
microarray
Online Access:https://www.mdpi.com/2227-7390/11/19/4219

Internet

https://www.mdpi.com/2227-7390/11/19/4219

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