treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses
| العنوان: | treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses |
|---|---|
| المؤلفون: | Christian von Mering, Ruizhu Huang, Charlotte Soneson, Mark D. Robinson, Pierre-Luc Germain, Thomas Schmidt |
| المساهمون: | University of Zurich, Robinson, Mark D |
| المصدر: | Genome Biology Genome Biology, 22 (1) Genome Biology, Vol 22, Iss 1, Pp 1-21 (2021) |
| بيانات النشر: | ETH Zurich, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Disease status, QH301-705.5, Computer science, Method, Blood Pressure, QH426-470, Biology, computer.software_genre, Synthetic data, UFSP13-7 Evolution in Action: From Genomes to Ecosystems, 1307 Cell Biology, Mice, 03 medical and health sciences, 0302 clinical medicine, 1311 Genetics, Databases, Genetic, Genetics, Animals, Humans, Computer Simulation, Biology (General), Gene, Data dependent, Phylogeny, 030304 developmental biology, Statistical hypothesis testing, Cerebral Cortex, Flexibility (engineering), 0303 health sciences, Bacteria, Models, Genetic, SIGNAL (programming language), Infant, Newborn, treeclimbR, hierarchical structure, single cell, differential abundance, differential state, microbiome, miRNA, Resolution (logic), 10124 Institute of Molecular Life Sciences, MicroRNAs, 1105 Ecology, Evolution, Behavior and Systematics, ComputingMethodologies_PATTERNRECOGNITION, Gene Expression Regulation, 570 Life sciences, biology, Data mining, Single-Cell Analysis, computer, Algorithms, 030217 neurology & neurosurgery |
| الوصف: | treeclimbR is for analyzing hierarchical trees of entities, such as phylogenies or cell types, at different resolutions. It proposes multiple candidates that capture the latent signal and pinpoints branches or leaves that contain features of interest, in a data-driven way. It outperforms currently available methods on synthetic data, and we highlight the approach on various applications, including microbiome and microRNA surveys as well as single-cell cytometry and RNA-seq datasets. With the emergence of various multi-resolution genomic datasets, treeclimbR provides a thorough inspection on entities across resolutions and gives additional flexibility to uncover biological associations. Genome Biology, 22 (1) ISSN:1474-760X |
| وصف الملف: | s13059-021-02368-1.pdf - application/pdf; application/application/pdf |
| اللغة: | English |
| تدمد: | 1474-760X |
| DOI: | 10.3929/ethz-b-000488145 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::578315432ba9b8c70557f68951803bcb |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....578315432ba9b8c70557f68951803bcb |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 1474760X |
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| DOI: | 10.3929/ethz-b-000488145 |