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Single-cell RNA-seq denoising using a deep count autoencoder

Single-cell RNA-seq denoising using a deep count autoencoder

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_73b3655c613540088d10c72597ba8d71

Single-cell RNA-seq denoising using a deep count autoencoder

About this item

Full title

Single-cell RNA-seq denoising using a deep count autoencoder

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2019-01, Vol.10 (1), p.390-390, Article 390

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

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 dat...

Alternative Titles

Full title

Single-cell RNA-seq denoising using a deep count autoencoder

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_73b3655c613540088d10c72597ba8d71

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_73b3655c613540088d10c72597ba8d71

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-018-07931-2

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