Recovery and analysis of transcriptome subsets from pooled single-cell RNA-seq libraries

Single-cell RNA sequencing (scRNA-seq) methods generate sparse gene expression profiles for thousands of single cells in a single experiment. The information in these profiles is sufficient to classify cell types by distinct expression patterns but the high complexity of scRNA-seq libraries often pr...

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Detalles Bibliográficos
Autores principales: Riemondy, Kent A, Ransom, Monica, Alderman, Christopher, Gillen, Austin E, Fu, Rui, Finlay-Schultz, Jessica, Kirkpatrick, Gregory D, Di Paola, Jorge, Kabos, Peter, Sartorius, Carol A, Hesselberth, Jay R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393243/
https://www.ncbi.nlm.nih.gov/pubmed/30496484
http://dx.doi.org/10.1093/nar/gky1204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6393243/
https://www.ncbi.nlm.nih.gov/pubmed/30496484
http://dx.doi.org/10.1093/nar/gky1204

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