A robust nonlinear low-dimensional manifold for single cell RNA-seq data

BACKGROUND: Modern developments in single-cell sequencing technologies enable broad insights into cellular state. Single-cell RNA sequencing (scRNA-seq) can be used to explore cell types, states, and developmental trajectories to broaden our understanding of cellular heterogeneity in tissues and org...

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Detalles Bibliográficos
Autores principales: Verma, Archit, Engelhardt, Barbara E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374962/
https://www.ncbi.nlm.nih.gov/pubmed/32693778
http://dx.doi.org/10.1186/s12859-020-03625-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374962/
https://www.ncbi.nlm.nih.gov/pubmed/32693778
http://dx.doi.org/10.1186/s12859-020-03625-z

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