Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) data provide valuable insights into cellular heterogeneity which is significantly improving the current knowledge on biology and human disease. One of the main applications of scRNA-seq data analysis is the identification of new cell types and cell...

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Detalles Bibliográficos
Autores principales: Gundogdu, Pelin, Loucera, Carlos, Alamo-Alvarez, Inmaculada, Dopazo, Joaquin, Nepomuceno, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722116/
https://www.ncbi.nlm.nih.gov/pubmed/34980200
http://dx.doi.org/10.1186/s13040-021-00285-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722116/
https://www.ncbi.nlm.nih.gov/pubmed/34980200
http://dx.doi.org/10.1186/s13040-021-00285-4

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