Shape-influenced clustering of dynamic patterns of gene profilesShape-influenced clustering of dynamic patterns of gene profiles Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2015-10-242012enStatistical evaluation of temporal gene expression profiles plays an important role in particular biological processes and conditions. We introduce a clustering method for this purpose, which is based on the expression patterns but is also influenced by temporal changes. We compare the results of our platform with methods based on expression or the rank of temporal changes. The proposed platform is illustrated with a temporal gene expression dataset comprised of primary human chondrocytes and mesenchymal stem cells (MSCs). We derived three clusters in each cell type and compared the content of these classes in terms of temporal changes, which can support biological performance. For statistical evaluation we introduce a validity measure that takes under consideration these temporal changes and we also perform an enrichment analysis of three central genes in each cluster. Even though we can detect certain statistical similarities, these might be due to different biological processes. Our proposed platform contributes to both the statistical and biological validation of temporal profiles.http://creativecommons.org/licenses/by/4.0/1238-1241Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Georgia Skreti Ekaterini S. Bei Zervakis Michalis Ζερβακης Μιχαλης Institute of Electrical and Electronics Engineers Clinical laboratory technicians Medical laboratory technicians medical technologists clinical laboratory technicians medical laboratory technicians