Cargando…
Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis
The existence of doublets is a key confounder in single-cell RNA sequencing (scRNA-seq) data analysis. Computational techniques have been developed for detecting doublets from scRNA-seq data. We developed an R package DoubletCollection to integrate the installation and execution of eight doublet det...
Autores principales: | Xi, Nan Miles, Li, Jingyi Jessica |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339294/ https://www.ncbi.nlm.nih.gov/pubmed/34382023 http://dx.doi.org/10.1016/j.xpro.2021.100699 |
Ejemplares similares
-
Protocol for Identification and Removal of Doublets with DoubletDecon
por: DePasquale, Erica A.K., et al.
Publicado: (2020) -
doubletD: detecting doublets in single-cell DNA sequencing data
por: Weber, Leah L, et al.
Publicado: (2021) -
Protocol to benchmark gene expression signature scoring techniques for single-cell RNA sequencing data in cancer
por: Noureen, Nighat, et al.
Publicado: (2022) -
DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data
por: DePasquale, Erica A.K., et al.
Publicado: (2019) -
scds: computational annotation of doublets in single-cell RNA sequencing data
por: Bais, Abha S, et al.
Publicado: (2019)