Ontology highlight
ABSTRACT:
SUBMITTER: Huang M
PROVIDER: S-EPMC6030502 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Huang Mo M Wang Jingshu J Torre Eduardo E Dueck Hannah H Shaffer Sydney S Bonasio Roberto R Murray John I JI Raj Arjun A Li Mingyao M Zhang Nancy R NR
Nature methods 20180625 7
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 ...[more]