DrImpute: imputing dropout events in single cell RNA sequencing data.

ABSTRACT:

Background

The single cell RNA sequencing (scRNA-seq) technique begin a new era by allowing the observation of gene expression at the single cell level. However, there is also a large amount of technical and biological noise. Because of the low number of RNA transcriptomes and the stochastic nature of the gene expression pattern, there is a high chance of missing nonzero entries as zero, which are called dropout events.

Results

We develop DrImpute to impute dropout events in scRNA-seq data. We show that DrImpute has significantly better performance on the separation of the dropout zeros from true zeros than existing imputation algorithms. We also demonstrate that DrImpute can significantly improve the performance of existing tools for clustering, visualization and lineage re

SUBMITTER: Gong W 

PROVIDER: S-EPMC5994079 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature