Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-017-00372-3 |
Functional interpretation of single cell similarity maps | |
De Tomaso, David1; Jones, Matthew G.2; Subramaniam, Meena2; Ashuach, Tal1; Ye, Chun J.3; Yosef, Nir1,4,5,6 | |
2019-09-26 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2019 |
卷号 | 10 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We present Vision, a tool for annotating the sources of variation in single cell RNA-seq data in an automated and scalable manner. Vision operates directly on the manifold of cell-cell similarity and employs a flexible annotation approach that can operate either with or without preconceived stratification of the cells into groups or along a continuum. We demonstrate the utility of Vision in several case studies and show that it can derive important sources of cellular variation and link them to experimental meta-data even with relatively homogeneous sets of cells. Vision produces an interactive, low latency and feature rich web-based report that can be easily shared among researchers, thus facilitating data dissemination and collaboration. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000488227700005 |
WOS关键词 | RNA-SEQ DATA ; SIGNATURES DATABASE ; EXPRESSION ; NORMALIZATION ; HETEROGENEITY ; GENES |
WOS类目 | Multidisciplinary Sciences |
WOS研究方向 | Science & Technology - Other Topics |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/203412 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calif Berkeley, Ctr Computat Biol, Berkeley, CA 94720 USA; 2.Univ Calif San Francisco, Biol & Med Informat Grad Program, San Francisco, CA 94143 USA; 3.Univ Calif San Francisco, Inst Human Genet, Dept Bioengn & Therapeut Sci, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA; 4.Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA; 5.MIT & Harvard, Massachusetts Gen Hosp, Ragon Inst, Cambridge, MA 02139 USA; 6.Chan Zuckerberg Biohub, San Francisco, CA 94158 USA |
推荐引用方式 GB/T 7714 | De Tomaso, David,Jones, Matthew G.,Subramaniam, Meena,et al. Functional interpretation of single cell similarity maps[J]. NATURE COMMUNICATIONS,2019,10. |
APA | De Tomaso, David,Jones, Matthew G.,Subramaniam, Meena,Ashuach, Tal,Ye, Chun J.,&Yosef, Nir.(2019).Functional interpretation of single cell similarity maps.NATURE COMMUNICATIONS,10. |
MLA | De Tomaso, David,et al."Functional interpretation of single cell similarity maps".NATURE COMMUNICATIONS 10(2019). |
条目包含的文件 | 条目无相关文件。 |
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