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Boolean implication analysis unveils candidate universal relationships in microbiome data

Boolean implication analysis unveils candidate universal relationships in microbiome data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_37677b550e384d93b9a73903d966daff

Boolean implication analysis unveils candidate universal relationships in microbiome data

About this item

Full title

Boolean implication analysis unveils candidate universal relationships in microbiome data

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2021-02, Vol.22 (1), p.49-15, Article 49

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Microbiomes consist of bacteria, viruses, and other microorganisms, and are responsible for many different functions in both organisms and the environment. Past analyses of microbiomes focused on using correlation to determine linear relationships between microbes and diseases. Weak correlations due to nonlinearity between microbe pairs may cause r...

Alternative Titles

Full title

Boolean implication analysis unveils candidate universal relationships in microbiome data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_37677b550e384d93b9a73903d966daff

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_37677b550e384d93b9a73903d966daff

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-020-03941-4

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