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Modern Hopfield Networks and Attention for Immune Repertoire Classification., , , , , , , , , и 1 other автор(ы). NeurIPS, (2020)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)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.Advancing protein language models with linguistics: a roadmap for improved interpretability., , , , , , и . CoRR, (2022)Assessment of composite motif discovery methods., , , , и . BMC Bioinform., (2008)False Discovery Rates in Identifying Functional DNA Motifs., , и . BIBE, стр. 387-394. IEEE Computer Society, (2007)ImmunoLingo: Linguistics-based formalization of the antibody language., , , , , , и . CoRR, (2022)Coloc-stats: a unified web interface to perform colocalization analysis of genomic features., , , , , , , , , и 5 other автор(ы). Nucleic Acids Res., 46 (Webserver-Issue): W186-W193 (2018)Generalized Composite Motif Discovery., и . KES (3), том 3683 из Lecture Notes in Computer Science, стр. 763-769. Springer, (2005)