One of the areas of computation that can contribute to the identification and understanding of the mechanism of infection is machine learning. This area has techniques and methodologies that allow the transformation of the data into meaningful information and knowledge. In genomics and transcriptomics, machine learning contributes to the interpretation of structures, functions of genetic information, as well as the evaluation of genomic characteristics to find new therapies or to improve existing ones, and to identify disease risks to take preventive measures. Thus, this work intends to analyze the expression profile of miRnome and to identify biomarker through machine learning techniques to elucidate the genetic regulatory mechanisms.
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