دورية أكاديمية
Data integration by fuzzy similarity-based hierarchical clustering ...
| العنوان: | Data integration by fuzzy similarity-based hierarchical clustering ... |
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| المؤلفون: | Ciaramella, Angelo, Nardone, Davide, Staiano, Antonino |
| بيانات النشر: | figshare |
| سنة النشر: | 2020 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Genetics, FOS Biological sciences, Biotechnology, Environmental Sciences not elsewhere classified, Information Systems not elsewhere classified, Cancer, Infectious Diseases, FOS Health sciences, Plant Biology, Computational Biology |
| الوصف: | Background High throughput methods, in biological and biomedical fields, acquire a large number of molecular parameters or omics data by a single experiment. Combining these omics data can significantly increase the capability for recovering fine-tuned structures or reducing the effects of experimental and biological noise in data. Results In this work we propose a multi-view integration methodology (named FH-Clust) for identifying patient subgroups from different omics information (e.g., Gene Expression, Mirna Expression, Methylation). In particular, hierarchical structures of patient data are obtained in each omic (or view) and finally their topologies are merged by consensus matrix. One of the main aspects of this methodology, is the use of a measure of dissimilarity between sets of observations, by using an appropriate metric. For each view, a dendrogram is obtained by using a hierarchical clustering based on a fuzzy equivalence relation with Łukasiewicz valued fuzzy similarity. Finally, a ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | unknown |
| DOI: | 10.6084/m9.figshare.c.5101082 |
| الإتاحة: | https://doi.org/10.6084/m9.figshare.c.5101082Test https://springernature.figshare.com/collections/Data_integration_by_fuzzy_similarity-based_hierarchical_clustering/5101082Test |
| حقوق: | Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcodeTest ; cc-by-4.0 |
| رقم الانضمام: | edsbas.F00F5CA |
| قاعدة البيانات: | BASE |
| DOI: | 10.6084/m9.figshare.c.5101082 |
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