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Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases.

, , and . ICMMI, volume 391 of Advances in Intelligent Systems and Computing, page 29-43. Springer, (2015)

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Design of Biomedical Robots for Phenotype Prediction Problems., , and . J. Comput. Biol., 23 (8): 678-692 (2016)Impact of Microarray Preprocessing Techniques in Unraveling Biological Pathways., , , and . J. Comput. Biol., 23 (12): 957-968 (2016)Sensitivity analysis of gene ranking methods in phenotype prediction., , and . J. Biomed. Informatics, (2016)Comparison of Different Sampling Algorithms for Phenotype Prediction., , , , , , , and . IWBBIO (2), volume 10814 of Lecture Notes in Computer Science, page 33-45. Springer, (2018)Design of Biomedical Robots for the Analysis of Cancer, Neurodegenerative and Rare Diseases., , and . ICMMI, volume 391 of Advances in Intelligent Systems and Computing, page 29-43. Springer, (2015)Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches., , , and . Comput. Biol. Medicine, (2019)Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer., , , , , , , and . BMC Bioinform., 21-S (2): 89 (March 2020)Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems., , , , , , , and . J. Biomed. Informatics, (2016)Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19., , , , , and . Comput. Biol. Medicine, (2022)The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance., , , and . ICAISC (1), volume 12415 of Lecture Notes in Computer Science, page 589-598. Springer, (2020)