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.Most traditional methods made assumptions about spe