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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

, , , , , , , , and . Briefings Bioinform., (2021)

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Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides., , , , , , , , and . Briefings Bioinform., (2021)BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data., , , , , , , , , and . Frontiers Big Data, (2021)Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches., , , , , , , , , and 4 other author(s). Briefings Bioinform., 20 (3): 931-951 (2019)Prediction of secondary structure population and intrinsic disorder of proteins using multitask deep learning., , , , , , , and . AMIA, AMIA, (2020)PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy., , , , , and . PAKDD (2), volume 12085 of Lecture Notes in Computer Science, page 384-395. Springer, (2020)PASSION: an ensemble neural network approach for identifying the binding sites of RBPs on circRNAs., , , , , and . Bioinform., 36 (15): 4276-4282 (2020)PROSPECT: A web server for predicting protein histidine phosphorylation sites., , , , , , , , and . J. Bioinform. Comput. Biol., 18 (4): 2050018:1-2050018:17 (2020)BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria., , , , , , , , , and 4 other author(s). Nucleic Acids Res., 49 (Database-Issue): D651-D659 (2021)Evolution on Neutral Networks in Genetic Programming, and . Genetic Programming Theory and Practice III, volume 9 of Genetic Programming, chapter 14, Springer, Ann Arbor, (12-14 May 2005)Genetic Programming Theory and Practice III, and . 9, chapter Evolution on Neutral Networks in Genetic Programming, page 207--221. Springer US, (2006)