SAVER: gene expression recovery for single-cell RNA sequencing
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Updated: Feb 8, 2026
Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
Mo Huang1, Jingshu Wang1, Eduardo Torre2,3
1Department of Statistics, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
Abstract:
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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