Data used in the article "Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification"

DOI

All the input data required for simulating the immune state-associated signal and subsequent machine learning model training used in the article "Profiling the baseline performance and limits of machine learning models for adaptive immune receptor repertoire classification"

Identifier
DOI https://doi.org/10.11582/2021.00064
Metadata Access https://search-api.web.sigma2.no/norstore-archive/oai/v1.0?verb=GetRecord&metadataPrefix=oai_dc&identifier=doi:10.11582/2021.00064
Provenance
Creator Kanduri, Chakravarthi
Publisher Norstore Archive
Publication Year 2021
OpenAccess true
Contact Norstore Archive
Representation
Language English
Resource Type Dataset
Discipline Biology; Immunology; Life Sciences; Medicine; Microbiology, Virology and Immunology; Natural Sciences