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Practical application of a Bayesian network approach to poultry epigenetics and stress

Practical application of a Bayesian network approach to poultry epigenetics and stress

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3feaca9ff4f44e56b6553a755136b795

Practical application of a Bayesian network approach to poultry epigenetics and stress

About this item

Full title

Practical application of a Bayesian network approach to poultry epigenetics and stress

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2022-07, Vol.23 (1), p.261-16, Article 261

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Relationships among genetic or epigenetic features can be explored by learning probabilistic networks and unravelling the dependencies among a set of given genetic/epigenetic features. Bayesian networks (BNs) consist of nodes that represent the variables and arcs that represent the probabilistic relationships between the variables. However, practic...

Alternative Titles

Full title

Practical application of a Bayesian network approach to poultry epigenetics and stress

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3feaca9ff4f44e56b6553a755136b795

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3feaca9ff4f44e56b6553a755136b795

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-022-04800-0