Ontology highlight
ABSTRACT:
SUBMITTER: Huang M
PROVIDER: S-EPMC8373083 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
Huang Mengting M Yang Yixuan Y Wen Xingzhao X Wen Xingzhao X Xu Weiqiang W Lu Na N Sun Xiao X Tu Jing J Lu Zuhong Z
Nucleic acids research 20210801 14
Though single cell RNA sequencing (scRNA-seq) technologies have been well developed, the acquisition of large-scale single cell expression data may still lead to high costs. Single cell expression profile has its inherent sparse properties, which makes it compressible, thus providing opportunities for solutions. Here, by computational simulation as well as experiment of 54 single cells, we propose that expression profiles can be compressed from the dimension of samples by overlapped assigning ea ...[more]