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

Martiniano, HugoVilela, JoanaMarques, Ana R.Santos, JoãoRasga, CéliaVicente, Astrid2021-03-132021-03-132020-11-20http://hdl.handle.net/10400.18/7478Our 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.engAutism Spectrum DisorderASDMachine Learning ApproachesPerturbações do Desenvolvimento Infantil e Saúde MentalA machine learning approach for the prioritization of disease-associated genetic variants from ngs datasetsconference object