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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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Bibliografski detalji
Izdano u:Bioinformatics
Glavni autori: Liu, Qi, Sheng, Quanhu, Ping, Jie, Ramirez, Marisol Adelina, Lau, Ken S, Coffey, Robert J, Shyr, Yu
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6954654/
https://ncbi.nlm.nih.gov/pubmed/31373345
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz601
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