Visualizing Single-Cell RNA-seq Data with Semisupervised Principal Component Analysis

Single-cell RNA-seq (scRNA-seq) is a powerful tool for analyzing heterogeneous and functionally diverse cell population. Visualizing scRNA-seq data can help us effectively extract meaningful biological information and identify novel cell subtypes. Currently, the most popular methods for scRNA-seq vi...

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Detalles Bibliográficos
Autor principal: Liu, Zhenqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460854/
https://www.ncbi.nlm.nih.gov/pubmed/32806757
http://dx.doi.org/10.3390/ijms21165797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460854/
https://www.ncbi.nlm.nih.gov/pubmed/32806757
http://dx.doi.org/10.3390/ijms21165797

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