Compound models and Pearson residuals for normalization of single-cell RNA-seq data without UMIs

Before downstream analysis can reveal biological signals in single-cell RNA sequencing data, normalization and variance stabilization are required to remove technical noise. Recently, Pearson residuals based on negative binomial models have been suggested as an efficient normalization approach. Thes...

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Detalles Bibliográficos
Autores principales: Lause, Jan, Ziegenhain, Christoph, Hartmanis, Leonard, Berens, Philipp, Kobak, Dmitry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418209/
https://www.ncbi.nlm.nih.gov/pubmed/37577688
http://dx.doi.org/10.1101/2023.08.02.551637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418209/
https://www.ncbi.nlm.nih.gov/pubmed/37577688
http://dx.doi.org/10.1101/2023.08.02.551637

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