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Updated: Feb 15, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Comparison of clustering approaches with application to dual colour protein data
Sabrina Siebert1, Katja Ickstadt2, Martin Schäfer3
1Faculty of Statistics, TU Dortmund University, Dortmund, Germany. siebert@statistik.tu-dortmund.de.
Abstract:
Cells communicate with their environment via proteins, located at the plasma membrane separating the interior of a cell from its surroundings. The spatial distribution of these proteins in the plasma membrane under different physiological conditions is of importance, since this may influence their signal transmission properties. In this study, the authors compare different methods such as hierarchical clustering, extensible Markov models and the gammics method for analysing such a spatial distribution. The methods are examined in a simulation study to determine their optimal use. Afterwards, they analyse experimental imaging data and extend these methods to simulate dual colour data.
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