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Feasibility of predicting allele specific expression from DNA sequencing using machine learning

Feasibility of predicting allele specific expression from DNA sequencing using machine learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_046bc28e1cc24a58a64d6f222d461d04

Feasibility of predicting allele specific expression from DNA sequencing using machine learning

About this item

Full title

Feasibility of predicting allele specific expression from DNA sequencing using machine learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2021-05, Vol.11 (1), p.10606-11, Article 10606

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Allele specific expression (ASE) concerns divergent expression quantity of alternative alleles and is measured by RNA sequencing. Multiple studies show that ASE plays a role in hereditary diseases by modulating penetrance or phenotype severity. However, genome diagnostics is based on DNA sequencing and therefore neglects gene expression regulation...

Alternative Titles

Full title

Feasibility of predicting allele specific expression from DNA sequencing using machine learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_046bc28e1cc24a58a64d6f222d461d04

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_046bc28e1cc24a58a64d6f222d461d04

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-021-89904-y

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