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Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph.

, , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (5): 1496-1507 (2019)

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Fred Wouters

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The pitfalls of negative data bias for the T-cell epitope specificity challenge., , , и . Nat. Mac. Intell., 5 (10): 1060-1062 (октября 2023)Mining the Enriched Subgraphs for Specific Vertices in a Biological Graph., , , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (5): 1496-1507 (2019)A primer to frequent itemset mining for bioinformatics., , , , , , и . Briefings Bioinform., 16 (2): 216-231 (2015)Massively Parallel Open Modification Spectral Library Searching with Hyperdimensional Computing., , , и . PACT, стр. 536-537. ACM, (2022)De novo mass spectrometry peptide sequencing with a transformer model., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 25514-25522. PMLR, (2022)Current challenges for unseen-epitope TCR interaction prediction and a new perspective derived from image classification., , , , , , , , и . Briefings Bioinform., (2021)Grasping frequent subgraph mining for bioinformatics applications., , , , , , и . BioData Min., 11 (1): 20:1-20:24 (2018)Computational solutions for quality control of mass spectrometry-based proteomics. University of Antwerp, Belgium, (2017)SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering., , , , , , и . CoRR, (2023)Benchmarking of Small Molecule Feature Representations for hERG, Nav1.5, and Cav1.2 Cardiotoxicity Prediction., , , , , и . J. Chem. Inf. Model., 64 (7): 2515-2527 (2024)