simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods

BACKGROUND: Machine learning (ML) has gained significant attention for classifying immune states in adaptive immune receptor repertoires (AIRRs) to support the advancement of immunodiagnostics and therapeutics. Simulated data are crucial for the rigorous benchmarking of AIRR-ML methods. Existing app...

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Detalles Bibliográficos
Autores principales: Kanduri, Chakravarthi, Scheffer, Lonneke, Pavlović, Milena, Rand, Knut Dagestad, Chernigovskaya, Maria, Pirvandy, Oz, Yaari, Gur, Greiff, Victor, Sandve, Geir K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580376/
https://www.ncbi.nlm.nih.gov/pubmed/37848619
http://dx.doi.org/10.1093/gigascience/giad074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580376/
https://www.ncbi.nlm.nih.gov/pubmed/37848619
http://dx.doi.org/10.1093/gigascience/giad074

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