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Access to ground truth at unconstrained size makes simulated data as indispensable as experimental data for bioinformatics methods development and benchmarking., и . Bioinform., 38 (21): 4994-4996 (октября 2022)Modern Hopfield Networks and Attention for Immune Repertoire Classification., , , , , , , , , и 1 other автор(ы). NeurIPS, (2020)The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires., , , , , , , , , и 32 other автор(ы). Nat. Mach. Intell., 3 (11): 936-944 (2021)Hopfield Networks is All You Need, , , , , , , , , и 6 other автор(ы). (2020)cite arxiv:2008.02217Comment: 10 pages (+ appendix); 12 figures; Blog: https://ml-jku.github.io/hopfield-layers/; GitHub: https://github.com/ml-jku/hopfield-layers.Assessment of composite motif discovery methods., , , , и . BMC Bioinform., (2008)Advancing protein language models with linguistics: a roadmap for improved interpretability., , , , , , и . CoRR, (2022)False Discovery Rates in Identifying Functional DNA Motifs., , и . BIBE, стр. 387-394. IEEE Computer Society, (2007)Sequential Monte Carlo multiple testing., , и . Bioinform., 27 (23): 3235-3241 (2011)Linguistics-based formalization of the antibody language as a basis for antibody language models., , , , , , и . Nat. Comput. Sci., 4 (6): 412-422 (июня 2024)Incorporating probabilistic domain knowledge into deep multiple instance learning., , , , , , , , , и 1 other автор(ы). ICML, OpenReview.net, (2024)