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Evaluating imputation methods for single-cell RNA-seq data
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) enables the high-throughput profiling of gene expression at the single-cell level. However, overwhelming dropouts within data may obscure meaningful biological signals. Various imputation methods have recently been developed to address this problem....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386301/ https://www.ncbi.nlm.nih.gov/pubmed/37507764 http://dx.doi.org/10.1186/s12859-023-05417-7 |