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Machine learning to identify pairwise interactions between specific IgE antibodies and their associa...

Machine learning to identify pairwise interactions between specific IgE antibodies and their associa...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2252256287

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

About this item

Full title

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

Publisher

United States: Public Library of Science

Journal title

PLoS medicine, 2018-11, Vol.15 (11), p.e1002691

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The relationship between allergic sensitisation and asthma is complex; the data about the strength of this association are conflicting. We propose that the discrepancies arise in part because allergic sensitisation may not be a single entity (as considered conventionally) but a collection of several different classes of sensitisation. We hypothesis...

Alternative Titles

Full title

Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth cohort

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2252256287

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2252256287

Other Identifiers

ISSN

1549-1676,1549-1277

E-ISSN

1549-1676

DOI

10.1371/journal.pmed.1002691

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