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Article

Leveraging information across HLA alleles/supertypes improves epitope prediction.

Journal of computational biology : a journal of computational molecular cell biology - 1 Jan 2000

Heckerman David, Kadie Carl, Listgarten Jennifer

Abstract excerpt

We present a model for predicting HLA class I restricted CTL epitopes. In contrast to almost all other work in this area, we train a single model on epitopes from all HLA alleles and supertypes, yet retain the ability to make epitope predictions for specific HLA alleles. We are therefore able to leverage data across all HLA alleles and/or their supertypes, automatically learning what information should be shared...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 17691891
DOI: 10.1089/cmb.2007.R013

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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