NeoMUST: an accurate and efficient multi-task learning model for neoantigen presentation
NeoMUST, a multi-task learning model, efficiently predicts neoantigen presentation via MHC-I molecules, rivaling existing algorithms with significantly shorter training time. Its GitHub repository offers free access for advancing cancer immunotherapy development. Accurate identification of neoantige...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Life Science Alliance LLC
2024-04-01
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| Collection: | Life Science Alliance |
| Accès en ligne: | https://www.life-science-alliance.org/lookup/doi/10.26508/lsa.202302255 |
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