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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |