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Non-linear archetypal analysis of single-cell RNA-seq data by deep autoencoders

Advances in single-cell RNA sequencing (scRNA-seq) have led to successes in discovering novel cell types and understanding cellular heterogeneity among complex cell populations through cluster analysis. However, cluster analysis is not able to reveal continuous spectrum of states and underlying gene...

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Detalles Bibliográficos
Autores principales: Wang, Yuge, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007392/
https://www.ncbi.nlm.nih.gov/pubmed/35363784
http://dx.doi.org/10.1371/journal.pcbi.1010025