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Improving the Usability of Donor Data from Registries Using an Extreme Learning Machine Approach to Upgrade Low-/Mid- to High-Resolution HLA Data.
Kepentzis S, Chatzistamatiou T, Digalakis J, Petropoulou O, Matsopoulos GK, Koutsouris D

Improving the Usability of Donor Data from Registries Using an Extreme Learning Machine Approach to Upgrade Low-/Mid- to High-Resolution HLA Data.

Medicine & Health Published 2026 Verification Pending

Overview & Synopsis

Open access biomedical research article published in Genes (Basel).

Indexed from repository: PubMed Central (pmc.ncbi.nlm.nih.gov)
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Document Information

Document Title Improving the Usability of Donor Data from Registries Using an Extreme Learning Machine Approach to Upgrade Low-/Mid- to High-Resolution HLA Data.
Author / Organization Kepentzis S, Chatzistamatiou T, Digalakis J, Petropoulou O, Matsopoulos GK, Koutsouris D
Subject & Discipline Genes (Basel)
Categories Medicine & Health
Publication Year 2026
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website PubMed Central (pmc.ncbi.nlm.nih.gov)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-152640
Original Source Link Visit Source Page on pmc.ncbi.nlm.nih.gov »