Publicaties
2024
Wetenschappelijke publicaties
Rojas-Velazquez, D., Kidwai, S., Kraneveld, A. D., Tonda, A., Oberski, D., Garssen, J., & Lopez-Rincon, A. (2024). Methodology for biomarker discovery with reproducibility in microbiome data using machine learning. BMC Bioinformatics, 25(1). https://doi.org/10.1186/s12859-024-05639-3
Peralta-Marzal, L. N., Rojas-Velazquez, D., Rigters, D., Prince, N., Garssen, J., Kraneveld, A. D., Perez-Pardo, P., & Lopez-Rincon, A. (2024). A robust microbiome signature for autism spectrum disorder across different studies using machine learning. Scientific Reports, 14(1), 814. Article 814. https://doi.org/10.1038/s41598-023-50601-7
Lopez-Rincon, A., Rojas-Velazquez, E., Garssen, J., Laan, S. W. V. D., Oberski, D., & Tonda, A. (2024). Bayesian Optimization for the Inverse Problem in Electrocardiography. In IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1593-1598). Article 10371791 IEEE. https://doi.org/10.1109/SSCI52147.2023.10371791
2023
Wetenschappelijke publicaties
Kidwai, S., Rojas-Velazquez, D., Kožinec, D., Vaišvilas, L., Perez-Pardo, P., & Lopez-Rincon, A. (2023). Using Machine Learning for Drug Discovery in IBD. Abstract from 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Paris, France. https://hal.science/hal-04097613
Rojas-Velazquez, D., Kidwai, S., Cerezin, L., de Vries, L., Besermenji, K., Perez-Pardo, P., & Lopez-Rincon, A. (2023). Feature Selection Applied to Microbiome for Drug Discovery. Abstract from 18th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Paris, France. https://hal.science/hal-04097608
Kidwai, S., Barbiero, P., Meijerman, I., Tonda, A., Perez-Pardo, P., Lio, P., van der Maitland-Zee, A. H., Oberski, D. L., Kraneveld, A. D., & Lopez-Rincon, A. (2023). A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate-to-severe asthma. Clinical and Translational Allergy, 13(11), 1-11. Article e12306. https://doi.org/10.1002/clt2.12306
Benner, M., Feyaerts, D., Lopez-Rincon, A., Heijden, O. WH. V. D., Hoorn, M.-L. V. D., Joosten, I., Ferwerda, G., & Molen, R. G. V. D. (2023). 16:10-16:20 A combination of immune cell types identified through ensemble machine learning strategy detects altered profile in recurrent pregnancy loss. Journal of Reproductive Immunology, 158, Article 103535. https://doi.org/10.1016/j.jri.2022.103535
Perez-Romero, C. A., Mendoza-Maldonado, L., Tonda, A., Coz, E., Tabeling, P., Vanhomwegen, J., MacSharry, J., Szafran, J., Bobadilla-Morales, L., Corona-Rivera, A., Claassen, E., Garssen, J., Kraneveld, A. D., & Lopez-Rincon, A. (2023). An Innovative AI-based primer design tool for precise and accurate detection of SARS-CoV-2 variants of concern. Scientific Reports, 13(1), Article 15782. https://doi.org/10.1038/s41598-023-42348-y
Li, R., Shokri, F., Rincon, A. L., Rivadeneira, F., Medina-Gomez, C., & Ahmadizar, F. (2023). Bi-Directional Interactions between Glucose-Lowering Medications and Gut Microbiome in Patients with Type 2 Diabetes Mellitus: A Systematic Review. Genes, 14(8), Article 1572. https://doi.org/10.3390/genes14081572
Rojas-Velazquez, D., Tonda, A., Rodriguez-Guerra, I., Kraneveld, A. D., & Lopez-Rincon, A. (2023). Multi-objective Evolutionary Discretization of Gene Expression Profiles: Application to COVID-19 Severity Prediction. In International Conference on the Applications of Evolutionary Computation (Part of EvoStar): EvoApplications 2023: Applications of Evolutionary Computation pp 703–717 (pp. 703-717). (Applications of Evolutionary Computation; Vol. 13989). Springer Cham. https://doi.org/10.1007/978-3-031-30229-9_45
Haasnoot, M. L., Kleuskens, M. T. A., Lopez-Rincon, A., Diks, M. A. P., Terreehorst, I., Akkerdaas, J. H., van Ree, R., van Ampting, M. T. J., Garssen, J., Redegeld, F. A., van Esch, B. C. A. M., & Bredenoord, A. J. (2023). In vivo and ex vivo inflammatory responses of the esophageal mucosa to food challenge in adults with eosinophilic esophagitis. Allergy, 78(7), 2044-2047. https://doi.org/10.1111/all.15694
Blankestijn, J. M., Lopez-Rincon, A., Neerincx, A. H., Vijverberg, S. J. H., Hashimoto, S., Gorenjak, M., Sardón Prado, O., Corcuera-Elosegui, P., Korta-Murua, J., Pino-Yanes, M., Potočnik, U., Bang, C., Franke, A., Wolff, C., Brandstetter, S., Toncheva, A. A., Kheiroddin, P., Harner, S., Kabesch, M., ... Consortium, T. S. (2023). Classifying asthma control using salivary and fecal bacterial microbiome in children with moderate-to-severe asthma. Pediatric Allergy and Immunology, 34(2), 1-10. Article e13919. https://doi.org/10.1111/pai.13919
Ramírez Salinas, G. L., López Rincón, A., García Machorro, J., Correa Basurto, J., & Martínez Archundia, M. (2023). In Silico Screening of Drugs That Target Different Forms of E Protein for Potential Treatment of COVID-19. Pharmaceuticals, 16(2), Article 296. https://doi.org/10.3390/ph16020296
Kamphorst, K., Lopez-Rincon, A., Vlieger, A. M., Garssen, J., Van ’t riet, E., & Van Elburg, R. M. (2023). Predictive factors for allergy at 4–6 years of age based on machine learning: A pilot study. PharmaNutrition, 23, 1-6. Article 100326. https://doi.org/10.1016/j.phanu.2022.100326
2022
Wetenschappelijke publicaties
Rojas-Velazquez, D., Kidwai, S., Perez-Pardo, P., Oberski, D., Garssen, J., Kraneveld, A. D., & Lopez-Rincon, A. (2022). Towards a reduced feature selection pipeline in 16s rRNA microbiome data using Machine Learning. In The 9th Beneficial Microbes Conference https://hal.science/hal-04097623
Lopez-Rincon, O., Starostenko, O., & Rincon, A. L. (2022). Algorithmic music generation by harmony recombination with genetic algorithm. Journal of Intelligent and Fuzzy Systems, 42(5), 4411-4423. https://doi.org/10.3233/JIFS-219231
Benner, M., Feyaerts, D., Lopez-Rincon, A., van der Heijden, O. W. H., van der Hoorn, M.-L., Joosten, I., Ferwerda, G., & van der Molen, R. G. (2022). A combination of immune cell types identified through ensemble machine learning strategy detects altered profile in recurrent pregnancy loss: a pilot study. F&S science, 3(2), 166-173. https://doi.org/10.1016/j.xfss.2022.02.002
Mouhrim, N., Tonda, A., Rodríguez-Guerra, I., Kraneveld, A. D., & Rincon, A. L. (2022). An evolutionary approach to the discretization of gene expression profiles to predict the severity of COVID-19. In J. E. Fieldsend (Ed.), GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 731-734). Association for Computing Machinery. https://doi.org/10.1145/3520304.3529001
PRIMA Initiative Group (2022). Analysing the protection from respiratory tract infections and allergic diseases early in life by human milk components: the PRIMA birth cohort. BMC Infectious Diseases, 22(1), 1-10. Article 152. https://doi.org/10.1186/s12879-022-07107-w
Szklany, K., Engen, P. A., Naqib, A., Green, S. J., Keshavarzian, A., Rincon, A. L., Siebrand, C. J., Diks, M. A. P., van de Kaa, M., Garssen, J., Knippels, L. M. J., & Kraneveld, A. D. (2022). Dietary supplementation throughout life with non‐digestible oligosaccharides and/or n‐3 poly‐unsaturated fatty acids in healthy mice modulates the gut–immune system–brain axis. Nutrients, 14(1), 1-29. Article 173. https://doi.org/10.3390/nu14010173
2021
Wetenschappelijke publicaties
Benner, M., Lopez-Rincon, A., Thijssen, S., Garssen, J., Ferwerda, G., Joosten, I., van der Molen, R. G., & Hogenkamp, A. (2021). Antibiotic Intervention Affects Maternal Immunity During Gestation in Mice. Frontiers in Immunology, 12, 1-10. Article 685742. https://doi.org/10.3389/fimmu.2021.685742
Rincon, A. L., Romero, C. A. P., Maldonado, L. M., Claassen, E., Garssen, J., Kraneveld, A. D., & Tonda, A. (2021). Design of specific primer sets for SARS-CoV-2 variants using evolutionary algorithms. In F. Chicano (Ed.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 982-990). Association for Computing Machinery. https://doi.org/10.1145/3449639.3459359
Lopez-Rincon, A., Roozendaal, D. S., Spierenburg, H. M., Holm, A. L., Metcalf, R., Perez-Pardo, P., Kraneveld, A. D., & Tonda, A. (2021). Modelling Asthma Patients’ Responsiveness to Treatment Using Feature Selection and Evolutionary Computation. In P. A. Castillo, & J. L. Jiménez Laredo (Eds.), Applications of Evolutionary Computation - 24th International Conference, EvoApplications 2021, Held as Part of EvoStar 2021, Proceedings (Vol. 12694, pp. 359-372). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12694 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-72699-7_23
Metselaar, P. I., Mendoza-Maldonado, L., Li Yim, A. Y. F., Abarkan, I., Henneman, P., te Velde, A. A., Schönhuth, A., Bosch, J. A., Kraneveld, A. D., & Lopez-Rincon, A. (2021). Recursive ensemble feature selection provides a robust mRNA expression signature for myalgic encephalomyelitis/chronic fatigue syndrome. Scientific Reports, 11(1), 1-11. Article 4541. https://doi.org/10.1038/s41598-021-83660-9
Lopez-Rincon, A., Tonda, A., Mendoza-Maldonado, L., Mulders, D. G. J. C., Molenkamp, R., Perez-Romero, C. A., Claassen, E., Garssen, J., & Kraneveld, A. D. (2021). Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning. Scientific Reports, 11(1), 1-11. Article 947. https://doi.org/10.1038/s41598-020-80363-5
2020
Wetenschappelijke publicaties
Lopez Rincon, A., Tonda, A., Mendoza-Maldonado, L., Claassen, E., Garssen, J., & Kraneveld, A. D. (2020). A Missense Mutation in SARS-CoV-2 Potentially Differentiates Between Asymptomatic and Symptomatic Cases. (Bulletin of the World Health Organization). World Health Organization. https://doi.org/10.2471/BLT.20.258889
Lopez Rincon, A., Tonda, A., Mendoza-Maldonado, L., Claassen, E., Garssen, J., & Kraneveld, A. D. (2020). Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning. (bioRxiv). bioRxiv. https://www.biorxiv.org/content/10.1101/2020.03.13.990242v1
Ainseba, B., Bendahmane, M., & Lopez Rincon, A. (2020). Effect of Torso Non-Homogeneities in the quasi-static inverse problems arising in electrocardiology. Moroccan Journal of Pure and Applied Sciences, 5(2), 235-250. https://doi.org/10.2478/mjpaa-2019-0017
Lopez-Rincon, A., Cantu, C., Etcheverry, G., Soto, R., & Shimoda, S. (2020). Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain. Journal of Neuroscience Methods, 331, Article 108464. https://doi.org/10.1016/j.jneumeth.2019.108464
Rincon, A. L., Kraneveld, A. D., & Tonda, A. (2020). Batch correction of genomic data in chronic fatigue syndrome using CMA-ES. 277-278. Paper presented at 2020 Genetic and Evolutionary Computation Conference, GECCO 2020, Cancun, Mexico. https://doi.org/10.1145/3377929.3389947
Lopez-Rincon, A., Mendoza-Maldonado, L., Martinez-Archundia, M., Schönhuth, A., Kraneveld, A. D., Garssen, J., & Tonda, A. (2020). Machine learning-based ensemble recursive feature selection of circulating mirnas for cancer tumor classification. Cancers, 12(7), 1-27. Article 1785. https://doi.org/10.3390/cancers12071785
2019
Wetenschappelijke publicaties
Lopez-Rincon, A. (2019). Emotion recognition using facial expressions in children using the NAO robot. In CONIELECOMP 2019 - 2019 International Conference on Electronics, Communications and Computers (pp. 146-153). Article 8673111 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIELECOMP.2019.8673111
Lopez-Rincon, A., Martinez-Archundia, M., Martinez-Ruiz, G. U., Schoenhuth, A., & Tonda, A. (2019). Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection. BMC Bioinformatics, 20(1), Article 480. https://doi.org/10.1186/s12859-019-3050-8
2018
Wetenschappelijke publicaties
Lopez-Rincon, A., Tonda, A., Elati, M., Schwander, O., Piwowarski, B., & Gallinari, P. (2018). Evolutionary optimization of convolutional neural networks for cancer miRNA biomarkers classification. Applied Soft Computing Journal, 65, 91-100. https://doi.org/10.1016/j.asoc.2017.12.036
2016
Wetenschappelijke publicaties
Rincon, A. L., Yamasaki, H., & Shimoda, S. (2016). Design of a video game for rehabilitation using motion capture, EMG analysis and virtual reality. In 2016 International Conference on Electronics, Communications and Computers, CONIELECOMP 2016 (pp. 198-204). Article 7438575 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CONIELECOMP.2016.7438575
Rincon, A. L., Cantu, C., Soto, R., & Shimoda, S. (2016). Simulating the activation, contraction and movement of skeletal muscles using the bidomain model. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 6042-6045). Article 7592106 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7592106
Lopez Rincon, A., & Shimoda, S. (2016). The inverse problem in electroencephalography using the bidomain model of electrical activity. Journal of Neuroscience Methods, 274, 94-105. https://doi.org/10.1016/j.jneumeth.2016.09.011
2015
Wetenschappelijke publicaties
Lopez-Rincon, A., Bendahmane, M., & Ainseba, B. (2015). On 3D numerical inverse problems for the bidomain model in electrocardiology. Computers and Mathematics with Applications, 69(4), 255-274. https://doi.org/10.1016/j.camwa.2014.09.022
2014
Wetenschappelijke publicaties
Lopez, A., Cienfuegos, M., Ainseba, B., & Bendahmane, M. (2014). PSO with Tikhonov regularization for the inverse problem in electrocardiography. In J.-K. Hao, N. Monmarché, M.-M. Corsini, E. Lutton, P. Legrand, & M. Schoenauer (Eds.), Artificial Evolution - 11th International Conference, Evolution Artificielle, EA 2013, Revised Selected Papers (pp. 256-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8752). Springer Verlag. https://doi.org/10.1007/978-3-319-11683-9_20
Lopez Rincon, A., Bendahmane, M., & Ainseba, B. (2014). Two-step genetic algorithm to solve the inverse problem in electrocardiography for cardiac sources. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, 2(3), 129-137. https://doi.org/10.1080/21681163.2013.814295
2013
Wetenschappelijke publicaties
École doctorale de mathématiques et informatique (Talence, Gironde) (Author), & Institut de mathématiques de Bordeaux (Author). (2013). Le problème inverse en l'électrocardiographie. Digital or Visual Products http://www.theses.fr/2013BOR15261/document
Rincon, A. L., Bendahmane, M., & Ainseba, B. (2013). Computing the electrical activity of the heart with a dynamic inverse monodomain operator. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2013, 3797-800. https://doi.org/10.1109/EMBC.2013.6610371
2012
Wetenschappelijke publicaties
Ainseba, BE., Bendahmane, M., & Rincon, A. L. (2012). Software for inverse voltage calculations in the heart's surface.. 34-39. https://doi.org/10.1109/CONIELECOMP.2012.6189877
2008
Wetenschappelijke publicaties
Lopez-Rincon, A., Vazquez-Gonzalez, J. L., Aguilera-Fernández, A., Navarro-Martinez, J. A., & Uribe, A. Z. E. (2008). Fast Fourier Transform Adjusted into 8 Bit Format for Instrumentation Purposes. In 18th International Conference on Electronics, Communications and Computers (conielecomp 2008) (pp. 95-98). Article 4470518 IEEE. https://doi.org/10.1109/CONIELECOMP.2008.30
2006
Wetenschappelijke publicaties
Rincon, A. L., & Kirschning, I. (2006). Finder and Reader of Web Pages in Spanish for People with Visual Disadvantages.. 41. https://doi.org/10.1109/CONIELECOMP.2006.31