Clustering single-cell multi-omics data with MoClust

MOTIVATION: Single-cell multi-omics sequencing techniques have rapidly developed in the past few years. Clustering analysis with single-cell multi-omics data may give us novel perspectives to dissect cellular heterogeneity. However, multi-omics data have the properties of inherited large dimension,...

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Detalles Bibliográficos
Autores principales: Yuan, Musu, Chen, Liang, Deng, Minghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805570/
https://www.ncbi.nlm.nih.gov/pubmed/36383167
http://dx.doi.org/10.1093/bioinformatics/btac736

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805570/
https://www.ncbi.nlm.nih.gov/pubmed/36383167
http://dx.doi.org/10.1093/bioinformatics/btac736

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