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.

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...

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Bibliographic Details
Main Authors: Kati Hyvärinen, Katri Haimila, Camous Moslemi, Blood Service Biobank, Martin L Olsson, Sisse R Ostrowski, Ole B Pedersen, Christian Erikstrup, Jukka Partanen, Jarmo Ritari
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-03-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011977

Internet

https://doi.org/10.1371/journal.pcbi.1011977

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