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within broader gene networks regulating islet autoimmunity. This project involves generating data from longitudinally collected human peripheral blood mononuclear cells at the single-cell level (CITE-seq
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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