Analysis of single-cell RNA sequencing data based on autoencoders

BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as well as the onset of different pathologies. Finding an effective and efficient low-dimensional representation of the data is one of the most important s...

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Detalles Bibliográficos
Autores principales: Tangherloni, Andrea, Ricciuti, Federico, Besozzi, Daniela, Liò, Pietro, Cvejic, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186186/
https://www.ncbi.nlm.nih.gov/pubmed/34103004
http://dx.doi.org/10.1186/s12859-021-04150-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8186186/
https://www.ncbi.nlm.nih.gov/pubmed/34103004
http://dx.doi.org/10.1186/s12859-021-04150-3

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