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Review of single-cell RNA-seq data clustering for cell-type identification and characterization

In recent years, the advances in single-cell RNA-seq techniques have enabled us to perform large-scale transcriptomic profiling at single-cell resolution in a high-throughput manner. Unsupervised learning such as data clustering has become the central component to identify and characterize novel cel...

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Detalles Bibliográficos
Autores principales:	Zhang, Shixiong, Li, Xiangtao, Lin, Jiecong, Lin, Qiuzhen, Wong, Ka-Chun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cold Spring Harbor Laboratory Press 2023
Materias:	Reviews
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10158997/ https://www.ncbi.nlm.nih.gov/pubmed/36737104 http://dx.doi.org/10.1261/rna.078965.121

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