bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data

MOTIVATION: Normalization of single-cell RNA-sequencing (scRNA-seq) data is a prerequisite to their interpretation. The marked technical variability, high amounts of missing observations and batch effect typical of scRNA-seq datasets make this task particularly challenging. There is a need for an ef...

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Detalles Bibliográficos
Autores principales: Tang, Wenhao, Bertaux, François, Thomas, Philipp, Stefanelli, Claire, Saint, Malika, Marguerat, Samuel, Shahrezaei, Vahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703772/
https://www.ncbi.nlm.nih.gov/pubmed/31584606
http://dx.doi.org/10.1093/bioinformatics/btz726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703772/
https://www.ncbi.nlm.nih.gov/pubmed/31584606
http://dx.doi.org/10.1093/bioinformatics/btz726

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