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
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DOI | |
发表期刊 | |
ISSN | 0305-1048
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EISSN | 1362-4962
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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"] |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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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"]
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WOS研究方向 | Biochemistry & Molecular Biology
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WOS类目 | Biochemistry & Molecular Biology
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WOS记录号 | WOS:001240512400001
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出版者 | |
ESI学科分类 | BIOLOGY & BIOCHEMISTRY
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来源库 | Web of Science
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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.
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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.
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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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条目包含的文件 | 条目无相关文件。 |
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