دورية أكاديمية
MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
| العنوان: | MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions |
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| المؤلفون: | Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz, Amos Tanay |
| المصدر: | Genome Biology, Vol 20, Iss 1, Pp 1-19 (2019) |
| بيانات النشر: | BMC, 2019. |
| سنة النشر: | 2019 |
| المجموعة: | LCC:Biology (General) LCC:Genetics |
| مصطلحات موضوعية: | RNA-seq, scRNA-seq, Graph partition, Multinomial distribution, Sampling variance, Clustering, Biology (General), QH301-705.5, Genetics, QH426-470 |
| الوصف: | Abstract scRNA-seq profiles each represent a highly partial sample of mRNA molecules from a unique cell that can never be resampled, and robust analysis must separate the sampling effect from biological variance. We describe a methodology for partitioning scRNA-seq datasets into metacells: disjoint and homogenous groups of profiles that could have been resampled from the same cell. Unlike clustering analysis, our algorithm specializes at obtaining granular as opposed to maximal groups. We show how to use metacells as building blocks for complex quantitative transcriptional maps while avoiding data smoothing. Our algorithms are implemented in the MetaCell R/C++ software package. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1474-760X |
| Relation: | http://link.springer.com/article/10.1186/s13059-019-1812-2; https://doaj.org/toc/1474-760X |
| DOI: | 10.1186/s13059-019-1812-2 |
| URL الوصول: | https://doaj.org/article/9753d7773ac942dbb045658e3b7d0981 |
| رقم الأكسشن: | edsdoj.9753d7773ac942dbb045658e3b7d0981 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1474760X |
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| DOI: | 10.1186/s13059-019-1812-2 |