Automatic learning of predictive models

Development of algorithms for automatic learning of predictive models of the individual risk of complex diseases. In addition to the genetic factors as input variables, research is being carried out on the method of modelling ancestral differences and their repercussion on the risk, as well as the incorporation of information of the transcriptome


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