Using hierarchical clustering and dendrograms to quantify the clustering of membrane proteins

DOI10.1007/s11538-011-9671-3zbMath1306.92013OpenAlexW1987922325WikidataQ39507671 ScholiaQ39507671MaRDI QIDQ417340

Stanly L. Steinberg, Bridget S. Wilson, Flor A. Espinoza, Janet M. Oliver

Publication date: 14 May 2012

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3429354

zbMATH Keywords

dose responsehierarchical cluster analysisdendrogram

Mathematics Subject Classification ID

Biochemistry, molecular biology (92C40) Cell biology (92C37)

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Cites Work

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• Graph clustering
• Linear and quadratic programming approaches for the general graph partitioning problem
• Markov random field modeling of the spatial distribution of proteins on cell membranes
• A novel clustering approach and prediction of optimal number of clusters: global optimum search with enhanced positioning
• Modelling Spatial Point Patterns in R

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