JUAN LUIS
FERNANDEZ MARTINEZ
Catedrático de Universidad
ANA
CERNEA CORBEANU
Profesora Contratada Doctora
Publications by the researcher in collaboration with ANA CERNEA CORBEANU (30)
2023
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Comparison of three mathematical models for COVID-19 prediction
Biophysical journal, Vol. 122, Núm. 3S1
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Three Mathematical Models for COVID-19 Prediction
Mathematics, Vol. 11, Núm. 3
2022
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Addressing Noise and Estimating Uncertainty in Biomedical Data through the Exploration of Chemical Space
International Journal of Molecular Sciences, Vol. 23, Núm. 21
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Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
International Journal of Molecular Sciences, Vol. 23, Núm. 9
2021
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Predictive Mathematical Models of the Short-Term and Long-Term Growth of the COVID-19 Pandemic
Computational and Mathematical Methods in Medicine, Vol. 2021
2020
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Deep neural networks for phenotype prediction in rare diseases
Artificial Intelligence in Precision Health: From Concept to Applications (Elsevier), pp. 189-202
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How to Deal with Uncertainty in Inverse and Classification Problems
ADVANCES IN MODELING AND INTERPRETATION IN NEAR SURFACE GEOPHYSICS (SPRINGER INTERNATIONAL PUBLISHING AG), pp. 401-414
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On the role of artificial intelligence in genomics to enhance precision medicine
Pharmacogenomics and Personalized Medicine, Vol. 13, pp. 105-119
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Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer
BMC Bioinformatics, Vol. 21
2019
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Detection of Breast Cancer Using Infrared Thermography and Deep Neural Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Efficient uncertainty analysis of the 3D electrical tomography inverse problem
Geophysics, Vol. 84, Núm. 3, pp. E209-E223
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MMP11 expression in intratumoral inflammatory cells in breast cancer
Histopathology, Vol. 75, Núm. 6, pp. 916-930
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Predicting protein tertiary structure and its uncertainty analysis via particle swarm sampling
Journal of Molecular Modeling, Vol. 25, Núm. 3
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Prognostic networks for unraveling the biological mechanisms of Sarcopenia
Mechanisms of Ageing and Development, Vol. 182
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Robust sampling of defective pathways in multiple myeloma
International Journal of Molecular Sciences, Vol. 20, Núm. 19
2018
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Comparison of Different Sampling Algorithms for Phenotype Prediction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm
Cancer Medicine, Vol. 7, Núm. 1, pp. 240-253
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On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Particle swarm optimization and uncertainty assessment in inverse problems
Entropy, Vol. 20, Núm. 2
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Principal component analysis in protein tertiary structure prediction
Journal of Bioinformatics and Computational Biology, Vol. 16, Núm. 2