Log in to save to my catalogue

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative bino...

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative bino...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bb8ef5e3bc44c6e84eabcff715b74c3

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

About this item

Full title

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2019-12, Vol.20 (1), p.296-296, Article 296

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects. To address this, we present a modeling framework for the normalization and variance stabilization of molecular count d...

Alternative Titles

Full title

Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6bb8ef5e3bc44c6e84eabcff715b74c3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6bb8ef5e3bc44c6e84eabcff715b74c3

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-019-1874-1

How to access this item