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RESCUE: imputing dropout events in single-cell RNA-sequencing data

BACKGROUND: Single-cell RNA-sequencing technologies provide a powerful tool for systematic dissection of cellular heterogeneity. However, the prevalence of dropout events imposes complications during data analysis and, despite numerous efforts from the community, this challenge has yet to be solved....

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Bibliografiske detaljer
Udgivet i:BMC Bioinformatics
Main Authors: Tracy, Sam, Yuan, Guo-Cheng, Dries, Ruben
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6624880/
https://ncbi.nlm.nih.gov/pubmed/31299886
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2977-0
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