Abstract
Biological data such as DNA and protein sequences can be analyzed using a variety of methods. This paper combines phylogenetic trees, experience-based classification and self-organizing maps for cluster analysis of G protein-coupled receptors (GPCRs), a class of pharmacologically relevant transmembrane proteins with specific characteristics. This combination allows to gain additional insights.
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Samsonova, E.V., Bäck, T., Beukers, M.W., Ijzerman, A.P., Kok, J.N. (2003). Combining and Comparing Cluster Methods in a Receptor Database. In: R. Berthold, M., Lenz, HJ., Bradley, E., Kruse, R., Borgelt, C. (eds) Advances in Intelligent Data Analysis V. IDA 2003. Lecture Notes in Computer Science, vol 2810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45231-7_32
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DOI: https://doi.org/10.1007/978-3-540-45231-7_32
Publisher Name: Springer, Berlin, Heidelberg
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