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	<title>metric limitations in computational biology &#8211; BIOENGINEER.ORG</title>
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		<title>Limitations of Cell Embedding Metrics Revealed by Drifting Islands</title>
		<link>https://bioengineer.org/limitations-of-cell-embedding-metrics-revealed-by-drifting-islands/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 11 Jun 2025 11:59:43 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[biological fidelity in embeddings]]></category>
		<category><![CDATA[cellular data distortion detection]]></category>
		<category><![CDATA[graph-based assessment metrics]]></category>
		<category><![CDATA[metric limitations in computational biology]]></category>
		<category><![CDATA[single-cell embedding evaluation]]></category>
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					<description><![CDATA[In the rapidly evolving field of single-cell biology, the ability to distill complex cellular data into meaningful and interpretable representations is paramount. These representations, or embeddings, transform high-dimensional single-cell profiles into low-dimensional spaces, facilitating visualization, clustering, and downstream biological analyses. However, as the wealth of single-cell data grows exponentially, the rigor with which these embeddings [&#8230;]]]></description>
		
		
		
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