Classification of low quality cells from single-cell RNA-seq data

Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic...

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Detalles Bibliográficos
Autores principales: Ilicic, Tomislav, Kim, Jong Kyoung, Kolodziejczyk, Aleksandra A., Bagger, Frederik Otzen, McCarthy, Davis James, Marioni, John C., Teichmann, Sarah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758103/
https://www.ncbi.nlm.nih.gov/pubmed/26887813
http://dx.doi.org/10.1186/s13059-016-0888-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758103/
https://www.ncbi.nlm.nih.gov/pubmed/26887813
http://dx.doi.org/10.1186/s13059-016-0888-1

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