Spatial clustering based gene selection for gene expression analysis in microarray data classification

A typical application of categorization in data mining is to uncover interesting distributions and significant patterns in the information that underlies it using density-based spatial clustering for workloads with noise. In these conditions, it is anticipated that the classification of the microarr...

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Hlavní autoři:	P. Edwin Dhas, Lalitha S, Annalakshmi Govindaraj, B. Jyoshna
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2024-01-01
Edice:	Automatika
Témata:	Gene selection feature selection microarray gene expression spatial cluster optimization algorithm
On-line přístup:	https://www.tandfonline.com/doi/10.1080/00051144.2023.2284027
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