CellMixS: quantifying and visualizing batch effects in single-cell RNA-seq data

A key challenge in single-cell RNA-sequencing (scRNA-seq) data analysis is batch effects that can obscure the biological signal of interest. Although there are various tools and methods to correct for batch effects, their performance can vary. Therefore, it is important to understand how batch effec...

Descripción completa

Detalles Bibliográficos
Autores principales: Lütge, Almut, Zyprych-Walczak, Joanna, Brykczynska Kunzmann, Urszula, Crowell, Helena L, Calini, Daniela, Malhotra, Dheeraj, Soneson, Charlotte, Robinson, Mark D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994321/
https://www.ncbi.nlm.nih.gov/pubmed/33758076
http://dx.doi.org/10.26508/lsa.202001004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994321/
https://www.ncbi.nlm.nih.gov/pubmed/33758076
http://dx.doi.org/10.26508/lsa.202001004

Ejemplares similares