Ontology highlight
ABSTRACT:
SUBMITTER: Shi Y
PROVIDER: S-EPMC8872627 | biostudies-literature | 2022 Feb
REPOSITORIES: biostudies-literature
Shi Yang Y Lee Ji-Hyun JH Kang Huining H Jiang Hui H
Genes 20220218 2
The high-throughput gene expression data generated from recent single-cell RNA sequencing (scRNA-seq) and parallel single-cell reverse transcription quantitative real-time PCR (scRT-qPCR) technologies enable biologists to study the function of transcriptome at the level of individual cells. Compared with bulk RNA-seq and RT-qPCR gene expression data, single-cell data show notable distinct features, including excessive zero expression values, high variability, and clustered design. We propose to ...[more]