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Comparative analysis of metagenomic classifiers for long-read sequencing datasets., , , , and . BMC Bioinform., 25 (1): 15 (December 2024)Predicting Cancer Drug Response using a Recommender System., , and . Bioinform., 34 (22): 3907-3914 (2018)Automatic prediction of protein domains from sequence information using a hybrid learning system., and . Bioinform., 20 (9): 1335-1360 (2004)Parametric Complexity of Sequence Assembly: Theory and Applications to Next Generation Sequencing., and . J. Comput. Biol., 16 (7): 897-908 (2009)Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract)., , and . AAAI, page 15867-15868. AAAI Press, (2021)MetageNN: a memory-efficient neural network taxonomic classifier robust to sequencing errors and missing genomes., , and . BMC Bioinform., 25 (1): 153 (December 2024)Apples to apples: improving the performance of motif finders and their significance analysis in the Twilight Zone., , , and . ISMB (Supplement of Bioinformatics), page 393-401. (2006)CREAMMIST: an integrative probabilistic database for cancer drug response prediction., , , , , , and . Nucleic Acids Res., 51 (D1): 1242-1248 (January 2023)FAST: Fourier transform based algorithms for significance testing of ungapped multiple alignments., and . Bioinform., 24 (4): 577-578 (2008)Uncovering Genomic Reassortments among Influenza Strains by Enumerating Maximal Bicliques., and . BIBM, page 223-230. IEEE Computer Society, (2008)