Comparison of clustering approaches with application to dual colour protein data. Issue 1 (1st February 2018)

• Record Type: Journal Article
• Authors: Siebert, Sabrina; Ickstadt, Katja; Schäfer, Martin; Radon, Yvonne; Verveer, Peter J.
• Is Part Of: IET systems biology. Volume 12:Issue 1(2018)
• Page Start: 7
• Page End: 17
• Publication Date: 2018-02-01
• Subjects: proteins -- molecular biophysics -- cellular biophysics -- biomembranes -- Markov processes -- bioinformatics -- statistical analysis; clustering approaches -- dual colour protein data -- cell communication -- plasma membrane -- spatial protein distribution -- signal transmission -- hierarchical clustering -- extensible Markov models -- gammics method -- experimental imaging data; Systems biology -- Periodicals; Cell physiology -- Periodicals; Biological systems -- Mathematical models -- Periodicals; Genetics -- Mathematical models -- Periodicals; Computational biology -- Periodicals; 573
• DOI: 10.1049/iet-syb.2017.0019
• Languages: English
• ISSNs: 1751-8849

Abstract

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.