Analysing microarray expression data through effective clustering

DOI10.1016/j.ins.2013.12.003zbMath1329.62286OpenAlexW2084846987WikidataQ57727131 ScholiaQ57727131MaRDI QIDQ903620

E. Masciari, G. M. Mazzeo, Carlo Zaniolo

Publication date: 14 January 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.12.003

zbMATH Keywords

clusteringbioinformaticsbiological data analysis

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Multi-view cluster analysis with incomplete data to understand treatment effects

Uses Software

• k-means++
• clusfind

Cites Work

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• Optimal implementations of UPGMA and other common clustering algorithms
• An efficient algorithm for a complete link method
• -Means: A new generalized k-means clustering algorithm
• A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes

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