Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data

The advances of single-cell transcriptomic technologies have led to increasing use of single-cell RNA sequencing (scRNA-seq) data in large-scale patient cohort studies. The resulting high-dimensional data can be summarized and incorporated into patient outcome prediction models in several ways; howe...

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Detalles Bibliográficos
Autores principales: Cao, Yue, Ghazanfar, Shila, Yang, Pengyi, Yang, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Case Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199760/
https://www.ncbi.nlm.nih.gov/pubmed/37096588
http://dx.doi.org/10.1093/bib/bbad159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199760/
https://www.ncbi.nlm.nih.gov/pubmed/37096588
http://dx.doi.org/10.1093/bib/bbad159

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