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DOI | 10.1038/s41467-018-03825-5 |
Discovery of rare cells from voluminous single cell expression data | |
Jindal, Aashi1; Gupta, Prashant1; Jayadeva1; Sengupta, Debarka2,3 | |
2018-11-09 | |
发表期刊 | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
出版年 | 2018 |
卷号 | 9 |
文章类型 | Article |
语种 | 英语 |
国家 | India |
英文摘要 | Single cell messenger RNA sequencing (scRNA-seq) provides a window into transcriptional landscapes in complex tissues. The recent introduction of droplet based transcriptomics platforms has enabled the parallel screening of thousands of cells. Large-scale single cell transcriptomics is advantageous as it promises the discovery of a number of rare cell subpopulations. Existing algorithms to find rare cells scale unbearably slowly or terminate, as the sample size grows to the order of tens of thousands. We propose Finder of Rare Entities (FiRE), an algorithm that, in a matter of seconds, assigns a rareness score to every individual expression profile under study. We demonstrate how FiRE scores can help bioinformaticians focus the downstream analyses only on a fraction of expression profiles within ultra-large scRNA-seq data. When applied to a large scRNA-seq dataset of mouse brain cells, FiRE recovered a novel sub-type of the pars tuberalis lineage. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000449627800014 |
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/203783 |
专题 | 资源环境科学 |
作者单位 | 1.Indian Inst Technol Delhi, Dept Elect Engn, Delhi 110016, India; 2.Indraprastha Inst Informat Technol, Ctr Computat Biol, Delhi 110020, India; 3.Indraprastha Inst Informat Technol, Dept Comp Sci & Engn, Delhi 110020, India |
推荐引用方式 GB/T 7714 | Jindal, Aashi,Gupta, Prashant,Jayadeva,et al. Discovery of rare cells from voluminous single cell expression data[J]. NATURE COMMUNICATIONS,2018,9. |
APA | Jindal, Aashi,Gupta, Prashant,Jayadeva,&Sengupta, Debarka.(2018).Discovery of rare cells from voluminous single cell expression data.NATURE COMMUNICATIONS,9. |
MLA | Jindal, Aashi,et al."Discovery of rare cells from voluminous single cell expression data".NATURE COMMUNICATIONS 9(2018). |
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