miQC: An adaptive probabilistic framework for quality control of single-cell RNA-sequencing data

Single-cell RNA-sequencing (scRNA-seq) has made it possible to profile gene expression in tissues at high resolution. An important preprocessing step prior to performing downstream analyses is to identify and remove cells with poor or degraded sample quality using quality control (QC) metrics. Two w...

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Detalles Bibliográficos
Autores principales: Hippen, Ariel A., Falco, Matias M., Weber, Lukas M., Erkan, Erdogan Pekcan, Zhang, Kaiyang, Doherty, Jennifer Anne, Vähärautio, Anna, Greene, Casey S., Hicks, Stephanie C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415599/
https://www.ncbi.nlm.nih.gov/pubmed/34428202
http://dx.doi.org/10.1371/journal.pcbi.1009290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415599/
https://www.ncbi.nlm.nih.gov/pubmed/34428202
http://dx.doi.org/10.1371/journal.pcbi.1009290

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