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A machine-learning method for biobank-scale genetic prediction of blood group antigens

A machine-learning method for biobank-scale genetic prediction of blood group antigens

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069178907

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

A key element for successful blood transfusion is compatibility of the patient and donor red blood cell (RBC) antigens. Precise antigen matching reduces the risk for immunization and other adverse transfusion outcomes. RBC antigens are encoded by specific genes, which allows developing computational methods for determining antigens from genomic dat...

Alternative Titles

Full title

A machine-learning method for biobank-scale genetic prediction of blood group antigens

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3069178907

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3069178907

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1011977

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