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题名

CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics

作者
通讯作者Vingron, Martin
发表日期
2024-06-01
DOI
发表期刊
ISSN
0305-1048
EISSN
1362-4962
摘要
["A fundamental analysis task for single-cell transcriptomics data is clustering with subsequent visualization of cell clusters. The genes responsible for the clustering are only inferred in a subsequent step. Clustering cells and genes together would be the remit of biclustering algorithms, which are often bogged down by the size of single-cell data. Here we present 'Correspondence Analysis based Biclustering on Networks' (CAbiNet) for joint clustering and visualization of single-cell RNA-sequencing data. CAbiNet performs efficient co-clustering of cells and their respective marker genes and jointly visualizes the biclusters in a non-linear embedding for easy and interactive visual exploration of the data.","Graphical Abstract"]
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语种
英语
学校署名
其他
资助项目
Shenzhen Science and Technology Program [China][KQTD 20180411143432337] ; Shenzhen Key Laboratory of Gene Regulation and Systems Biology [China][ZDSYS 20200811144002008] ; National Natural Science Foundation of China["82373975","32100684"]
WOS研究方向
Biochemistry & Molecular Biology
WOS类目
Biochemistry & Molecular Biology
WOS记录号
WOS:001240512400001
出版者
ESI学科分类
BIOLOGY & BIOCHEMISTRY
来源库
Web of Science
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/788190
专题南方科技大学医学院_药理学系
生命科学学院
南方科技大学医学院
作者单位
1.Max Planck Inst Mol Genet, Dept Computat Mol Biol, Ihnestr 63, D-14195 Berlin, Germany
2.Southern Univ Sci & Technol, Sch Med, Dept Pharmacol, 1088 Xueyuan Ave, Shenzhen 518000, Guangdong, Peoples R China
3.Joint Lab Guangdong Hong Kong Univ Vasc Homeostasi, Southern Univ Sci & Technol, Sch Med, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
4.Southern Univ Sci & Technol, Sch Life Sci, Shenzhen Key Lab Gene Regulat & Syst Biol, 1088 Xueyuan Ave, Shenzhen 518055, Guangdong, Peoples R China
第一作者单位药理学系;  南方科技大学医学院;  生命科学学院
推荐引用方式
GB/T 7714
Zhao, Yan,Kohl, Clemens,Rosebrock, Daniel,et al. CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics[J]. NUCLEIC ACIDS RESEARCH,2024.
APA
Zhao, Yan,Kohl, Clemens,Rosebrock, Daniel,Hu, Qinan,Hu, Yuhui,&Vingron, Martin.(2024).CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics.NUCLEIC ACIDS RESEARCH.
MLA
Zhao, Yan,et al."CAbiNet: joint clustering and visualization of cells and genes for single-cell transcriptomics".NUCLEIC ACIDS RESEARCH (2024).
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