Impact of data preprocessing on cell-type clustering based on single-cell RNA-seq data

BACKGROUND: Advances in single-cell RNA-seq technology have led to great opportunities for the quantitative characterization of cell types, and many clustering algorithms have been developed based on single-cell gene expression. However, we found that different data preprocessing methods show quite...

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Detalles Bibliográficos
Autores principales: Wang, Chunxiang, Gao, Xin, Liu, Juntao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541255/
https://www.ncbi.nlm.nih.gov/pubmed/33028196
http://dx.doi.org/10.1186/s12859-020-03797-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541255/
https://www.ncbi.nlm.nih.gov/pubmed/33028196
http://dx.doi.org/10.1186/s12859-020-03797-8

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