Development of Diagnosis / Prognosis predictive models
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Identification of genetic factors associated to diseases is an important step toward understanding the biological mechanisms of the pathologies and identifying future drug targets. This information is very important for patient early diagnosis (predicting pathology) and prognosis. We can process genomic data of patients to train and build predictive models based on machine learning techniques, and support the development of future diagnostic and prognostic kits.