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Machine learning identifies regulatory changes in the lung as key to the conversion of genetic risk to Type 1 diabetes

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posted on 2020-10-15, 07:36 authored by Denis NyagaDenis Nyaga, Daniel HoDaniel Ho, William SchierdingWilliam Schierding, Richard SafferyRichard Saffery, Mark VickersMark Vickers, Jo PerryJo Perry, Andreas Kempa-LiehrAndreas Kempa-Liehr, Justin O'SullivanJustin O'Sullivan
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University of Auckland

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justin.osullivan@auckland.ac.nz

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    Keywords

    Type 1 diabetesgenetic architecturemachine learning-basedImmune Cell AssociationFunctional genomics analysisexpression quantitative trait loci analysisGenomicsGenome Structure and RegulationEpigenetics (incl. Genome Methylation and Epigenomics)

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    CC BY 4.0

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