Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts

Current approaches to single-cell transcriptomic analysis are computationally intensive and require assay-specific modeling, which limits their scope and generality. We propose a novel method that compares and clusters cells based on their transcript-compatibility read counts rather than on the tran...

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Detalles Bibliográficos
Autores principales: Ntranos, Vasilis, Kamath, Govinda M., Zhang, Jesse M., Pachter, Lior, Tse, David N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881296/
https://www.ncbi.nlm.nih.gov/pubmed/27230763
http://dx.doi.org/10.1186/s13059-016-0970-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4881296/
https://www.ncbi.nlm.nih.gov/pubmed/27230763
http://dx.doi.org/10.1186/s13059-016-0970-8

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