Cargando…
scds: computational annotation of doublets in single-cell RNA sequencing data
MOTIVATION: Single-cell RNA sequencing (scRNA-seq) technologies enable the study of transcriptional heterogeneity at the resolution of individual cells and have an increasing impact on biomedical research. However, it is known that these methods sometimes wrongly consider two or more cells as single...
Autores principales: | Bais, Abha S, Kostka, Dennis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703774/ https://www.ncbi.nlm.nih.gov/pubmed/31501871 http://dx.doi.org/10.1093/bioinformatics/btz698 |
Ejemplares similares
-
Vaeda computationally annotates doublets in single-cell RNA sequencing data
por: Schriever, Hannah, et al.
Publicado: (2022) -
DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data
por: DePasquale, Erica A.K., et al.
Publicado: (2019) -
Single-cell RNA sequencing reveals differential cell cycle activity in key cell populations during nephrogenesis
por: Bais, Abha S., et al.
Publicado: (2021) -
doubletD: detecting doublets in single-cell DNA sequencing data
por: Weber, Leah L, et al.
Publicado: (2021) -
scAnnotate: an automated cell-type annotation tool for single-cell RNA-sequencing data
por: Ji, Xiangling, et al.
Publicado: (2023)