Ontology highlight
ABSTRACT:
SUBMITTER: Talwar D
PROVIDER: S-EPMC6218547 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature
Talwar Divyanshu D Mongia Aanchal A Sengupta Debarka D Majumdar Angshul A
Scientific reports 20181105 1
The emergence of single-cell RNA sequencing (scRNA-seq) technologies has enabled us to measure the expression levels of thousands of genes at single-cell resolution. However, insufficient quantities of starting RNA in the individual cells cause significant dropout events, introducing a large number of zero counts in the expression matrix. To circumvent this, we developed an autoencoder-based sparse gene expression matrix imputation method. AutoImpute, which learns the inherent distribution of th ...[more]