CellBench: R/Bioconductor software for comparing single-cell RNA-seq analysis methods

MOTIVATION: Bioinformatic analysis of single-cell gene expression data is a rapidly evolving field. Hundreds of bespoke methods have been developed in the past few years to deal with various aspects of single-cell analysis and consensus on the most appropriate methods to use under different settings...

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Detalles Bibliográficos
Autores principales: Su, Shian, Tian, Luyi, Dong, Xueyi, Hickey, Peter F, Freytag, Saskia, Ritchie, Matthew E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141847/
https://www.ncbi.nlm.nih.gov/pubmed/31778143
http://dx.doi.org/10.1093/bioinformatics/btz889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141847/
https://www.ncbi.nlm.nih.gov/pubmed/31778143
http://dx.doi.org/10.1093/bioinformatics/btz889

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