Article

Simulation of adaptive immune receptors and repertoires with complex immune information to guide the development and benchmarking of AIRR machine learning

2023-10-23

Abstract excerpt

Machine learning (ML) has shown great potential in the adaptive immune receptor repertoire (AIRR) field. However, there is a lack of large-scale ground-truth experimental AIRR data suitable for AIRR-ML-based disease diagnostics and therapeutics discovery. Simulated ground-truth AIRR data are required to complement the development and benchmarking of robust and interpretable AIRR-ML methods where experimental data...

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Literature Corpus work: 8cf8ed2a-c8aa-55a0-b1ee-d3da679df213
DOI: 10.1101/2023.10.20.562936

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