Fast and precise single-cell data analysis using a hierarchical autoencoder

A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical Autoencoder (scDHA), that reliably extracts repres...

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Detalles Bibliográficos
Autores principales: Tran, Duc, Nguyen, Hung, Tran, Bang, La Vecchia, Carlo, Luu, Hung N., Nguyen, Tin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884436/
https://www.ncbi.nlm.nih.gov/pubmed/33589635
http://dx.doi.org/10.1038/s41467-021-21312-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884436/
https://www.ncbi.nlm.nih.gov/pubmed/33589635
http://dx.doi.org/10.1038/s41467-021-21312-2

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