CSpace  > 应用数学研究所
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data
Xiong, Jiankang1,2; Gong, Fuzhou1,2; Wan, Lin1,2; Ma, Liang3
2020-10-06
Source PublicationFRONTIERS IN GENETICS
Volume11Pages:8
AbstractThe dramatic increase in amount and size of single-cell RNA sequencing data calls for more efficient and scalable dimensional reduction and visualization tools. Here, we design a GPU-accelerated method, NeuralEE, which aggregates the advantages of elastic embedding and neural network. We show that NeuralEE is both scalable and generalizable in dimensional reduction and visualization of large-scale scRNA-seq data. In addition, the GPU-based implementation of NeuralEE makes it applicable to limited computational resources while maintains high performance, as it takes only half an hour to visualize 1.3 million mice brain cells, and NeuralEE has generalizability for integrating newly generated data.
Keywordsingle-cell RNA sequencing elastic embedding neural networks large-scale stochastic optimization parametric models generalizable models
DOI10.3389/fgene.2020.00786
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2019YFA0709501] ; National Key R&D Program of China[2018YFB0704304] ; NSFC[81673833] ; NSFC[11971459] ; NSFC[12071466] ; NCMIS of CAS ; LSC of CAS ; Youth Innovation Promotion Association of CAS
WOS Research AreaGenetics & Heredity
WOS SubjectGenetics & Heredity
WOS IDWOS:000583639900001
PublisherFRONTIERS MEDIA SA
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/52398
Collection应用数学研究所
Corresponding AuthorWan, Lin; Ma, Liang
Affiliation1.Chinese Acad Sci, Natl Ctr Math & Interdisciplinary Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Math Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Zool, Key Lab Zool Systemat & Evolut, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Xiong, Jiankang,Gong, Fuzhou,Wan, Lin,et al. NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data[J]. FRONTIERS IN GENETICS,2020,11:8.
APA Xiong, Jiankang,Gong, Fuzhou,Wan, Lin,&Ma, Liang.(2020).NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data.FRONTIERS IN GENETICS,11,8.
MLA Xiong, Jiankang,et al."NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data".FRONTIERS IN GENETICS 11(2020):8.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiong, Jiankang]'s Articles
[Gong, Fuzhou]'s Articles
[Wan, Lin]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiong, Jiankang]'s Articles
[Gong, Fuzhou]'s Articles
[Wan, Lin]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiong, Jiankang]'s Articles
[Gong, Fuzhou]'s Articles
[Wan, Lin]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.