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	<title>chronic lymphocytic leukemia &#8211; BIOENGINEER.ORG</title>
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	<title>chronic lymphocytic leukemia &#8211; BIOENGINEER.ORG</title>
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		<title>CytoVI: Deep learning model unifies antibody-based single-cell data across platforms</title>
		<link>https://bioengineer.org/cytovi-deep-learning-model-unifies-antibody-based-single-cell-data-across-platforms/</link>
		
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		<pubDate>Thu, 08 Oct 2026 20:52:02 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[B cell atlas]]></category>
		<category><![CDATA[batch correction]]></category>
		<category><![CDATA[chronic lymphocytic leukemia]]></category>
		<category><![CDATA[CITE-seq]]></category>
		<category><![CDATA[CytoVI]]></category>
		<category><![CDATA[deep generative model]]></category>
		<category><![CDATA[flow cytometry]]></category>
		<category><![CDATA[mass cytometry]]></category>
		<category><![CDATA[non-Hodgkin lymphoma]]></category>
		<category><![CDATA[protein imputation]]></category>
		<category><![CDATA[scvi-tools]]></category>
		<category><![CDATA[Variational Autoencoder]]></category>
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					<description><![CDATA[Researchers have developed CytoVI, an open-source deep generative model that integrates, denoises and imputes antibody-based single-cell data from flow cytometry, mass cytometry and CITE-seq, enabling a 350-protein B cell atlas, discovery of lymphoma-associated T cell states and automated leukemia diagnosis.]]></description>
		
		
		
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