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Autores principales: Pavlović, Milena, Würtzen, Charlotte, Kanduri, Chakravarthi, Mamica, Maria, Scheffer, Lonneke, Lund-Andersen, Christin, Gubatan, John Mark, Ullmann, Theresa, Greiff, Victor, Sandve, Geir Kjetil
Formato: Recurso digital
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Publicado: Zenodo 2026
Acceso en línea:https://doi.org/10.5281/zenodo.19565450
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  • <p>This upload contains all the results from use case 2 on simulated data of the manuscript<strong> </strong><em>Unsupervised Machine Learning for Adaptive Immune Receptors with immuneML</em>. Specifically, it includes all the analysis specification files for immuneML and the immuneML output.</p> <p>The analyses were performed on 4 simulated datasets.</p> <p>For full information on how to reproduce these results, see the GitHub repository: https://github.com/immuneML/immuneML-unsupervisedML-usecases.</p> <p>immuneML GitHub repository: https://github.com/uio-bmi/immuneML</p> <p>The analyses are compatible with the latest immuneML version at the time of submission (3.0.21).</p>