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Original paper

EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data

Volume: 20, Issue: 1
Published: Mar 22, 2019
Abstract
Droplet-based single-cell RNA sequencing protocols have dramatically increased the throughput of single-cell transcriptomics studies. A key computational challenge when processing these data is to distinguish libraries for real cells from empty droplets. Here, we describe a new statistical method for calling cells from droplet-based data, based on detecting significant deviations from the expression profile of the ambient solution. Using...
Paper Details
Title
EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data
Published Date
Mar 22, 2019
Volume
20
Issue
1
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