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	<title>deep generative models &#8211; BIOENGINEER.ORG</title>
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		<title>New AI Model Learns the Hidden Architecture of Human Genetic Variation</title>
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		<pubDate>Thu, 08 Oct 2026 22:01:53 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[1000 Genomes Project]]></category>
		<category><![CDATA[artificial genomes]]></category>
		<category><![CDATA[deep generative models]]></category>
		<category><![CDATA[genetic probabilistic circuits]]></category>
		<category><![CDATA[genomic privacy]]></category>
		<category><![CDATA[genotype imputation]]></category>
		<category><![CDATA[hidden Chow-Liu trees]]></category>
		<category><![CDATA[linkage disequilibrium]]></category>
		<category><![CDATA[population genetics]]></category>
		<category><![CDATA[probabilistic circuits]]></category>
		<category><![CDATA[UK Biobank]]></category>
		<category><![CDATA[underrepresented populations]]></category>
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					<description><![CDATA[Researchers have unveiled Genetic Probabilistic Circuits, a deep generative model that captures long-range genetic correlations, improves genotype imputation for underrepresented populations, and better preserves privacy than existing artificial genome methods.]]></description>
		
		
		
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