SAVER: gene expression recovery for single-cell RNA sequencing

被引：0
|
作者：
Mo Huang
Jingshu Wang
Eduardo Torre
Hannah Dueck
Sydney Shaffer
Roberto Bonasio
John I. Murray
Arjun Raj
Mingyao Li
Nancy R. Zhang
机构：
[1] University of Pennsylvania,Department of Statistics, The Wharton School
[2] University of Pennsylvania,Perelman School of Medicine
[3] University of Pennsylvania,Department of Bioengineering
[4] Perelman School of Medicine,Department of Genetics
[5] University of Pennsylvania,Department of Cell and Developmental Biology
[6] Perelman School of Medicine,Department of Biostatistics and Epidemiology
[7] University of Pennsylvania,undefined
[8] Perelman School of Medicine,undefined
[9] University of Pennsylvania,undefined
来源：
Nature Methods | 2018年 / 15卷
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摘要：
In single-cell RNA sequencing (scRNA-seq) studies, only a small fraction of the transcripts present in each cell are sequenced. This leads to unreliable quantification of genes with low or moderate expression, which hinders downstream analysis. To address this challenge, we developed SAVER (single-cell analysis via expression recovery), an expression recovery method for unique molecule index (UMI)-based scRNA-seq data that borrows information across genes and cells to provide accurate expression estimates for all genes.
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页码：539 / 542
页数：3
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