Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning
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DOI | https://doi.org/10.11582/2023.00130 |
Metadata Access | https://search-api.web.sigma2.no/norstore-archive/oai/v1.0?verb=GetRecord&metadataPrefix=oai_dc&identifier=doi:10.11582/2023.00130 |
Provenance | |
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Creator | Chernigovskaia, Mariia |
Publisher | Norstore Archive |
Publication Year | 2023 |
OpenAccess | true |
Contact | Norstore Archive |
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Language | English |
Resource Type | Dataset |
Discipline | Biology; Life Sciences; Natural Sciences |