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whole-exome-seqeuncing

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raimondilab / An-explainable-model-of-host-genetic-interactions-linked-to-Covid19-severity

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This project focused on the mapping of the host-genetics factors determining COVID-19 severity using Machine learning approaches (supervised, unsupervised Machine learning methods, Pathway signaling processes, and Open Targets web-based Platform). Our study utilized the whole-exome sequencing genome dataset of 2000 European descent patients coll…

machine-learning-algorithms explainable-artificial-intelligence severity covid-19 whole-exome-seqeuncing disease-variants-associations
  • Updated Apr 2, 2023
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