Advancing Gene Expression Data Analysis: an Innovative Multi-objective Optimization Algorithm for Simultaneous Feature Selection and Clustering
Abstract Clustering algorithms play a crucial role in identifying co-expressed genes in microarray data, while feature subset identification is equally important when dealing with large data matrices. In this research paper, we address the problem of simultaneous feature selection and gene expressio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto de Tecnologia do Paraná (Tecpar)
2024-06-01
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| Series: | Brazilian Archives of Biology and Technology |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132024000100616&lng=en&tlng=en |