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Prediction of peptides observable by mass spectrometry applied at the experimental set level.

, , , , and . BMC Bioinform., (2007)

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Efficient Modeling of Discrete Events for Anomaly Detection Using Hidden Markov Models., , and . ISC, volume 3650 of Lecture Notes in Computer Science, page 506-514. Springer, (2005)Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships., , and . J. Biomed. Informatics, 46 (5): 849-856 (2013)Integration of knowledge sources for explanation production., and . IEA/AIE (2), page 944-951. ACM, (1989)Adaptive intrusion detection with data mining., , and . SMC, page 3097-3103. IEEE, (2003)Integrating phenotype and gene expression data for predicting gene function., , and . BMC Bioinform., 10 (S-11): 20 (2009)Cyber Security for Additive Manufacturing., , , and . CISR, page 14:1-14:3. ACM, (2015)Dynamic Learning of Automata from the Call Stack Log for Anomaly Detection., and . ITCC (1), page 774-779. IEEE Computer Society, (2005)Gene Model Detection Using Mass Spectrometry., , , , and . Proteome Bioinformatics, Springer, (2010)Prediction of Cell Penetrating Peptides by Support Vector Machines., , , , and . PLoS Comput. Biol., (2011)Deep learning for multisensor image resolution enhancement., , , , and . GeoAI@SIGSPATIAL, page 37-44. ACM, (2017)