A novel pattern based clustering methodology for time-series microarray data

DOI10.1080/00207160701203419zbMath1115.92020OpenAlexW2146028646MaRDI QIDQ5294687

Fazel Famili, Maureen mc-Court O'Connor, Ziying Liu, Anne Lenferink, Sieu Phan, Youlian Pan, Zoujian Tang, Junjun Ouyang

Publication date: 25 July 2007

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160701203419

zbMATH Keywords

clusteringdata miningco-expressed genesbiological pattern recognitioncancer genomic data settime-series microarray datayeast data set

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Uses Software

• Silhouettes

Cites Work

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• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Fuzzy forecasting based on fuzzy time series
• Aspects of neural modeling of multidimensional chaotic attractors
• Bayesian clustering by dynamics

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