Ontology highlight
ABSTRACT:
SUBMITTER: He Y
PROVIDER: S-EPMC7353747 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
He Yao Y Yuan Hao H Wu Cheng C Xie Zhi Z
Genome biology 20200710 1
Dropouts distort gene expression and misclassify cell types in single-cell transcriptome. Although imputation may improve gene expression and downstream analysis to some degree, it also inevitably introduces false signals. We develop DISC, a novel deep learning network with semi-supervised learning to infer gene structure and expression obscured by dropouts. Compared with seven state-of-the-art imputation approaches on ten real-world datasets, we show that DISC consistently outperforms the other ...[more]