A novel f-divergence based generative adversarial imputation method for scRNA-seq data analysis

Comprehensive analysis of single-cell RNA sequencing (scRNA-seq) data can enhance our understanding of cellular diversity and aid in the development of personalized therapies for individuals. The abundance of missing values, known as dropouts, makes the analysis of scRNA-seq data a challenging task....

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Detalles Bibliográficos
Autores principales: Si, Tong, Hopkins, Zackary, Yanev, John, Hou, Jie, Gong, Haijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637660/
https://www.ncbi.nlm.nih.gov/pubmed/37948433
http://dx.doi.org/10.1371/journal.pone.0292792

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637660/
https://www.ncbi.nlm.nih.gov/pubmed/37948433
http://dx.doi.org/10.1371/journal.pone.0292792

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