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aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA...

aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4b139f025bb94e6196b449ae252d4726

aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

About this item

Full title

aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

Publisher

England: BioMed Central Ltd

Journal title

BMC genomics, 2019-05, Vol.20 (1), p.364-364, Article 364

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Data normalization and identification of significant differential expression represent crucial steps in RNA-Seq analysis. Many available tools rely on assumptions that are often not met by real data, including the common assumption of symmetrical distribution of up- and down-regulated genes, the presence of only few differentially expressed genes a...

Alternative Titles

Full title

aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_4b139f025bb94e6196b449ae252d4726

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4b139f025bb94e6196b449ae252d4726

Other Identifiers

ISSN

1471-2164

E-ISSN

1471-2164

DOI

10.1186/s12864-019-5686-1

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