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Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations
Duren, Zhana1,2; Chen, Xi1,2; Zamanighomi, Mahdi1,2,3; Zeng, Wanwen1,2,4,5; Satpathy, Ansuman T.3; Chang, Howard Y.3; Wang, Yong6,7; Wong, Wing Hung1,2,3
2018-07-24
发表期刊PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
卷号115期号:30页码:7723-7728
摘要When different types of functional genomics data are generated on single cells from different samples of cells from the same heterogeneous population, the clustering of cells in the different samples should be coupled. We formulate this "coupled clustering" problem as an optimization problem and propose the method of coupled nonnegative matrix factorizations (coupled NMF) for its solution. The method is illustrated by the integrative analysis of single-cell RNA-sequencing (RNA-seq) and single-cell ATAC-sequencing (ATAC-seq) data.
关键词coupled clustering NMF single-cell genomic data
DOI10.1073/pnas.1805681115
语种英语
资助项目National Institutes of Health[R01HG007834] ; National Institutes of Health[R01GM109836] ; National Institutes of Health[P50HG007735] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB13000000]
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
WOS记录号WOS:000439574700050
出版者NATL ACAD SCIENCES
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/33386
专题应用数学研究所
通讯作者Wong, Wing Hung
作者单位1.Stanford Univ, Dept Stat, Stanford, CA 94305 USA
2.Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA
3.Stanford Univ, Ctr Personal Dynam Regulomes, Stanford, CA 94305 USA
4.Tsinghua Univ, Key Lab Bioinformat, Bioinformat Div, Minist Educ, Beijing 100080, Peoples R China
5.Tsinghua Univ, Ctr Synthet & Syst Biol, Dept Automat, Beijing 100080, Peoples R China
6.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
7.Chinese Acad Sci, Ctr Excellence Anim Evolut & Genet, Kunming 650223, Yunnan, Peoples R China
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GB/T 7714
Duren, Zhana,Chen, Xi,Zamanighomi, Mahdi,et al. Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2018,115(30):7723-7728.
APA Duren, Zhana.,Chen, Xi.,Zamanighomi, Mahdi.,Zeng, Wanwen.,Satpathy, Ansuman T..,...&Wong, Wing Hung.(2018).Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,115(30),7723-7728.
MLA Duren, Zhana,et al."Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 115.30(2018):7723-7728.
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