Cargando…
A systematic evaluation of single-cell RNA-sequencing imputation methods
BACKGROUND: The rapid development of single-cell RNA-sequencing (scRNA-seq) technologies has led to the emergence of many methods for removing systematic technical noises, including imputation methods, which aim to address the increased sparsity observed in single-cell data. Although many imputation...
Autores principales: | Hou, Wenpin, Ji, Zhicheng, Ji, Hongkai, Hicks, Stephanie C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450705/ https://www.ncbi.nlm.nih.gov/pubmed/32854757 http://dx.doi.org/10.1186/s13059-020-02132-x |
Ejemplares similares
-
A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples
por: Hou, Wenpin, et al.
Publicado: (2021) -
A statistical framework for differential pseudotime analysis with multiple single-cell RNA-seq samples
por: Hou, Wenpin, et al.
Publicado: (2023) -
Single-cell ATAC-seq signal extraction and enhancement with SCATE
por: Ji, Zhicheng, et al.
Publicado: (2020) -
Reference-free and cost-effective automated cell type annotation with GPT-4 in single-cell RNA-seq analysis
por: Hou, Wenpin, et al.
Publicado: (2023) -
Reference-free and cost-effective automated cell type annotation with GPT-4 in single-cell RNA-seq analysis
por: Hou, Wenpin, et al.
Publicado: (2023)