Ontology highlight
ABSTRACT:
SUBMITTER: Eraslan G
PROVIDER: S-EPMC6344535 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Nature communications 20190123 1
Single-cell RNA sequencing (scRNA-seq) has enabled researchers to study gene expression at a cellular resolution. However, noise due to amplification and dropout may obstruct analyses, so scalable denoising methods for increasingly large but sparse scRNA-seq data are needed. We propose a deep count autoencoder network (DCA) to denoise scRNA-seq datasets. DCA takes the count distribution, overdispersion and sparsity of the data into account using a negative binomial noise model with or without ze ...[more]