Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) allows studying the development of cells in unprecedented detail. Given that many cellular differentiation processes are hierarchical, their scRNA-seq data are expected to be approximately tree-shaped in gene expression space. Inference and represen...

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Detalles Bibliográficos
Autores principales: Garrido, Quentin, Damrich, Sebastian, Jäger, Alexander, Cerletti, Dario, Claassen, Manfred, Najman, Laurent, Hamprecht, Fred A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
ISCB/Ismb 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235514/
https://www.ncbi.nlm.nih.gov/pubmed/35758814
http://dx.doi.org/10.1093/bioinformatics/btac249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9235514/
https://www.ncbi.nlm.nih.gov/pubmed/35758814
http://dx.doi.org/10.1093/bioinformatics/btac249

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