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A machine learning approach for the prioritization of disease-associated genetic variants from ngs datasets

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Our objective is to develop variant prioritization methods using machine learning approaches to predict genotype-phenotype associations, that can detect the most likely causal variants associated to a given phenotype.

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Autism Spectrum Disorder ASD Machine Learning Approaches Perturbações do Desenvolvimento Infantil e Saúde Mental

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