Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

Although an essential step, cell functional annotation often proves particularly challenging from single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make...

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Detalles Bibliográficos
Autores principales: Franchini, Melania, Pellecchia, Simona, Viscido, Gaetano, Gambardella, Gennaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Standard Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985338/
https://www.ncbi.nlm.nih.gov/pubmed/36879897
http://dx.doi.org/10.1093/nargab/lqad024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9985338/
https://www.ncbi.nlm.nih.gov/pubmed/36879897
http://dx.doi.org/10.1093/nargab/lqad024

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