scRNABatchQC: multi-samples quality control for single cell RNA-seq data

SUMMARY: Single cell RNA sequencing is a revolutionary technique to characterize inter-cellular transcriptomics heterogeneity. However, the data are noise-prone because gene expression is often driven by both technical artifacts and genuine biological variations. Proper disentanglement of these two...

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Detalles Bibliográficos
Autores principales: Liu, Qi, Sheng, Quanhu, Ping, Jie, Ramirez, Marisol Adelina, Lau, Ken S, Coffey, Robert J, Shyr, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954654/
https://www.ncbi.nlm.nih.gov/pubmed/31373345
http://dx.doi.org/10.1093/bioinformatics/btz601

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954654/
https://www.ncbi.nlm.nih.gov/pubmed/31373345
http://dx.doi.org/10.1093/bioinformatics/btz601

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