Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools

Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize populations and subpopulations of different cell types in hearts recovering from myocardial infarction (MI) by characterizing the transcriptomes in thousands of individual cells. However, the effectiveness of the...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Thanh, Wei, Yuhua, Nakada, Yuji, Chen, Jake Y., Zhou, Yang, Walcott, Gregory, Zhang, Jianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133286/
https://www.ncbi.nlm.nih.gov/pubmed/37100826
http://dx.doi.org/10.1038/s41598-023-32293-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10133286/
https://www.ncbi.nlm.nih.gov/pubmed/37100826
http://dx.doi.org/10.1038/s41598-023-32293-1

Ejemplares similares