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Peer-reviewedCC BYGenes

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

  • Stavros Kepentzis1
  • Theofanis Chatzistamatiou2
  • Jason Digalakis1
  • Ourania Petropoulou1
  • George K. Matsopoulos1
  • Dimitrios Koutsouris1
  1. 1School of Electrical and Computer Engineering, , 9 Iroon Polytechniou St., Zografou Polytechnic Campus, 15772 Athens, Greece; (S.K.); (D.K.)
  2. 2Clinical Biochemistry Laboratory, “Sismanoglio” General Hospital of Attica, 1 Sismanogliou St., 15126 Marousi, Greece
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Cite

BibTeXRIS
BibTeX
@article{kepentzis2026improving,
  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 = {Stavros Kepentzis and Theofanis Chatzistamatiou and Jason Digalakis and Ourania Petropoulou and George K. Matsopoulos and Dimitrios Koutsouris},
  journal = {Genes},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13704008},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Improving the Usability of Donor Data from Registries Using an Extreme Learning Machine Approach to Upgrade Low-/Mid- to High-Resolution HLA Data
AU  - Stavros Kepentzis
AU  - Theofanis Chatzistamatiou
AU  - Jason Digalakis
AU  - Ourania Petropoulou
AU  - George K. Matsopoulos
AU  - Dimitrios Koutsouris
PY  - 2026
DA  - 2026/10/01
JO  - Genes
UR  - https://europepmc.org/article/PMC/PMC13704008
SN  - 2073-4425
ER  -