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

Abstract 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...

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Bibliographic Details
Main Authors: Sam Tracy, Guo-Cheng Yuan, Ruben Dries
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-019-2977-0