Article

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

2026-08-28

Abstract excerpt

<h4>Background: </h4> /Objectives: High-resolution Human Leukocyte Antigen (HLA) typing is required for precise unrelated donor selection, yet many registry records remain low- or intermediate-resolution. Haplotype-frequency imputation is the standard remedy but loses accuracy for rare haplotypes and underrepresented populations. <h4>Methods:</h4> A locus-specific Extreme Learning Machine (ELM) framework, trained...

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Literature Corpus work: 4ede77f0-ee0c-50c5-9e65-f8a1db2fafca
DOI: 10.20944/preprints202607.0785.v2

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