An accurate and robust imputation method scImpute for single-cell RNA-seq data

An accurate and robust imputation method scImpute for single-cell RNA-seq data

Despite being widely performed in exploring cell heterogeneity and gene expression stochasticity, single cell RNA-seq analysis is complicated by excess zero counts (dropouts). Here, Li and Li develop scImpute for statistical imputation of dropouts in scRNA-seq data.

Bibliographic Details
Main Authors: Wei Vivian Li, Jingyi Jessica Li
Format: Article
Language:English
Published: Nature Publishing Group 2018-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03405-7
id doaj-929c4a6aa64242ada152b435bb8e17f0
record_format Article
spelling doaj-929c4a6aa64242ada152b435bb8e17f02021-05-11T09:28:35ZengNature Publishing GroupNature Communications2041-17232018-03-01911910.1038/s41467-018-03405-7An accurate and robust imputation method scImpute for single-cell RNA-seq dataWei Vivian Li0Jingyi Jessica Li1Department of Statistics, University of CaliforniaDepartment of Statistics, University of CaliforniaDespite being widely performed in exploring cell heterogeneity and gene expression stochasticity, single cell RNA-seq analysis is complicated by excess zero counts (dropouts). Here, Li and Li develop scImpute for statistical imputation of dropouts in scRNA-seq data.https://doi.org/10.1038/s41467-018-03405-7
collection DOAJ
language English
format Article
sources DOAJ
author Wei Vivian Li
Jingyi Jessica Li
spellingShingle Wei Vivian Li
Jingyi Jessica Li
An accurate and robust imputation method scImpute for single-cell RNA-seq data
Nature Communications
author_facet Wei Vivian Li
Jingyi Jessica Li
author_sort Wei Vivian Li
title An accurate and robust imputation method scImpute for single-cell RNA-seq data
title_short An accurate and robust imputation method scImpute for single-cell RNA-seq data
title_full An accurate and robust imputation method scImpute for single-cell RNA-seq data
title_fullStr An accurate and robust imputation method scImpute for single-cell RNA-seq data
title_full_unstemmed An accurate and robust imputation method scImpute for single-cell RNA-seq data
title_sort accurate and robust imputation method scimpute for single-cell rna-seq data
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2018-03-01
description Despite being widely performed in exploring cell heterogeneity and gene expression stochasticity, single cell RNA-seq analysis is complicated by excess zero counts (dropouts). Here, Li and Li develop scImpute for statistical imputation of dropouts in scRNA-seq data.
url https://doi.org/10.1038/s41467-018-03405-7
work_keys_str_mv AT weivivianli anaccurateandrobustimputationmethodscimputeforsinglecellrnaseqdata
AT jingyijessicali anaccurateandrobustimputationmethodscimputeforsinglecellrnaseqdata
AT weivivianli accurateandrobustimputationmethodscimputeforsinglecellrnaseqdata
AT jingyijessicali accurateandrobustimputationmethodscimputeforsinglecellrnaseqdata
_version_ 1721449785801572352

Similar Items