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Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher's Ratio Sampler.

, , , , , , , и . IWBBIO (2), том 10814 из Lecture Notes in Computer Science, стр. 15-23. Springer, (2018)

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Bonifacio Muñiz Fernández

Kilian Muniz Fernandez

Antonio Méndez Muñiz

Bárbara Fernández Fernández

Fernando Fernández

 

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Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques., , , , и . Int. J. Appl. Evol. Comput., 1 (3): 27-48 (2010)On the Use of Principal Component Analysis and Particle Swarm Optimization in Protein Tertiary Structure Prediction., , , , , и . ICAISC (2), том 10842 из Lecture Notes in Computer Science, стр. 107-116. Springer, (2018)Comparison of Different Sampling Algorithms for Phenotype Prediction., , , , , , , и . IWBBIO (2), том 10814 из Lecture Notes in Computer Science, стр. 33-45. Springer, (2018)Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks., , , , , и . IWBBIO (2), том 11466 из Lecture Notes in Computer Science, стр. 514-523. Springer, (2019)Computational Models for COVID-19 Dynamics Prediction., , и . ICAISC (2), том 14126 из Lecture Notes in Computer Science, стр. 228-238. Springer, (2023)Inverse Problems and Model Reduction Techniques., , , и . SMPS, том 77 из Advances in Intelligent and Soft Computing, стр. 255-262. Springer, (2010)The curse of dimensionality in inverse problems., и . J. Comput. Appl. Math., (2020)Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques., , , и . Math. Comput. Model., 54 (11-12): 2889-2899 (2011)Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler., , , , , , , и . IWBBIO (2), том 10814 из Lecture Notes in Computer Science, стр. 24-32. Springer, (2018)Principal component analysis in protein tertiary structure prediction., , , , , и . J. Bioinform. Comput. Biol., 16 (2): 1850005:1-1850005:34 (2018)