An interpretable single-cell RNA sequencing data clustering method based on latent Dirichlet allocation

Single-cell RNA sequencing (scRNA-seq) detects whole transcriptome signals for large amounts of individual cells and is powerful for determining cell-to-cell differences and investigating the functional characteristics of various cell types. scRNA-seq datasets are usually sparse and highly noisy. Ma...

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Detalles Bibliográficos
Autores principales: Yang, Qi, Xu, Zhaochun, Zhou, Wenyang, Wang, Pingping, Jiang, Qinghua, Juan, Liran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359080/
https://www.ncbi.nlm.nih.gov/pubmed/37225419
http://dx.doi.org/10.1093/bib/bbad199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359080/
https://www.ncbi.nlm.nih.gov/pubmed/37225419
http://dx.doi.org/10.1093/bib/bbad199

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