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		<title>Graph-Attentive AI Generates Rare Cells to Sharpen Single-Cell RNA Analysis</title>
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		<pubDate>Sat, 10 Oct 2026 18:31:44 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Technology]]></category>
		<category><![CDATA[cell clustering]]></category>
		<category><![CDATA[class imbalance]]></category>
		<category><![CDATA[clustering]]></category>
		<category><![CDATA[computational biology]]></category>
		<category><![CDATA[Feature Selection]]></category>
		<category><![CDATA[generative adversarial network]]></category>
		<category><![CDATA[graph attention network]]></category>
		<category><![CDATA[high-dimensional small-sample regime]]></category>
		<category><![CDATA[mode dropping]]></category>
		<category><![CDATA[rare cell types]]></category>
		<category><![CDATA[single-cell RNA-seq]]></category>
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					<description><![CDATA[A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and improves downstream gene selection and clustering.]]></description>
		
		
		
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