Centroid Clustering of Cellular Lineage Trees
| العنوان: | Centroid Clustering of Cellular Lineage Trees |
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| المؤلفون: | Michael A. Rieger, Fabian J. Theis, Claudia Plant, Valeriy Khakhutskyy, Carsten Marr, Timm Schroeder, Nina Hubig, Michael Schwarzfischer |
| المصدر: | Information Technology in Bio-and Medical Informatics ISBN: 9783319102641 ITBAM |
| بيانات النشر: | Springer International Publishing, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Binary tree, Phylogenetic tree, business.industry, Computer science, Lineage (evolution), Centroid, Pattern recognition, computer.software_genre, Tree (graph theory), Data mining, Artificial intelligence, Cluster analysis, business, computer |
| الوصف: | Trees representing hierarchical knowledge are prevalent in biology and medicine. Some examples are phylogenetic trees, the hierarchical structure of biological tissues and cell lines. The increasing throughput of techniques generating such trees poses new challenges to the analysis of tree ensembles. Some typical tasks include the determination of common patterns of lineage decisions in cellular differentiation trees. Partitioning the dataset is crucial for further analysis of the cellular genealogies. In this work, we develop a method to cluster labeled binary tree structures. Furthermore, for every cluster our method selects a centroid tree that captures the characteristic mitosis patterns of the group. We evaluate this technique on synthetic data and apply it to experimental trees that embody the lineages of differentiating cells under specific conditions over time. The results of the cell lineage trees are thoroughly interpreted with expert domain knowledge. |
| ردمك: | 978-3-319-10264-1 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::a1fe50b3b580a6d1f4f4f72d879561d5Test https://doi.org/10.1007/978-3-319-10265-8_2Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi...........a1fe50b3b580a6d1f4f4f72d879561d5 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783319102641 |
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