Hidden Patterns of Anti-HLA Class I Alloreactivity Revealed Through Machine Learning

Hidden Patterns of Anti-HLA Class I Alloreactivity Revealed Through Machine Learning

Detection of alloreactive anti-HLA antibodies is a frequent and mandatory test before and after organ transplantation to determine the antigenic targets of the antibodies. Nowadays, this test involves the measurement of fluorescent signals generated through antibody–antigen reactions on multi-beads...

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Bibliographic Details
Main Authors: Angeliki G. Vittoraki, Asimina Fylaktou, Katerina Tarassi, Zafeiris Tsinaris, Alexandra Siorenta, George Ch. Petasis, Demetris Gerogiannis, Claudia Lehmann, Maryvonnick Carmagnat, Ilias Doxiadis, Aliki G. Iniotaki, Ioannis Theodorou
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Immunology
Subjects:
machine learning
antigenic epitopes
alloimmune response
translational research
sensitization
bead array test
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.670956/full

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https://www.frontiersin.org/articles/10.3389/fimmu.2021.670956/full

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