Ontology highlight
ABSTRACT:
SUBMITTER: Zhang L
PROVIDER: S-EPMC8035992 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Journal of molecular cell biology 20210401 1
Single-cell RNA sequencing (scRNA-seq) provides a powerful tool to determine expression patterns of thousands of individual cells. However, the analysis of scRNA-seq data remains a computational challenge due to the high technical noise such as the presence of dropout events that lead to a large proportion of zeros for expressed genes. Taking into account the cell heterogeneity and the relationship between dropout rate and expected expression level, we present a cell sub-population based bounded ...[more]