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Computational Prediction of Host-Pathogen Interactions Through Omics Data Analysis and Machine Learning.

, , , , , and . IWBBIO (2), volume 10209 of Lecture Notes in Computer Science, page 360-371. (2017)

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Applying Fuzzy CoCo to breast cancer diagnosis., and . CEC, page 1168-1175. IEEE, (2000)Computational Prediction of Host-Pathogen Interactions Through Omics Data Analysis and Machine Learning., , , , , and . IWBBIO (2), volume 10209 of Lecture Notes in Computer Science, page 360-371. (2017)A Comparative Study of Feature Selection Methods for Biomarker Discovery., , , and . BIBM, page 2789-2791. IEEE Computer Society, (2018)Exploration of multiclass and one-class learning methods for prediction of phage-bacteria interaction at strain level., , , , , , and . BIBM, page 1818-1825. IEEE Computer Society, (2018)Stability of Feature Selection Methods: A Study of Metrics Across Different Gene Expression Datasets., , and . IWBBIO, volume 12108 of Lecture Notes in Computer Science, page 659-669. Springer, (2020)Applying one-class learning algorithms to predict phage-bacteria interactions., , , and . LA-CCI, page 1-6. IEEE, (2019)Ensemble Feature Selection: Are Stability Metrics a Proxy or a Complement to Predictive Performance?, , and . ICBBT, page 108-115. ACM, (2021)Multi-Objective Optimisation for Improved Feature Selection., , and . ICBBT, page 155-162. ACM, (2021)Exploring the Stability of Feature Selection Methods across a Palette of Gene Expression Datasets., , and . ICBBE, page 7-12. ACM, (2019)Isolation, Characterization, and Agent-Based Modeling of Mesenchymal Stem Cells in a Bio-construct for Myocardial Regeneration Scaffold Design., , , , and . Data, 4 (2): 71 (2019)