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	<title>gene enrichment analysis &#8211; BIOENGINEER.ORG</title>
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		<title>AI Models Mine Blood Gene Data to Uncover New ALS Biomarkers</title>
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		<pubDate>Sat, 10 Oct 2026 14:04:30 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[amyotrophic lateral sclerosis]]></category>
		<category><![CDATA[batch correction]]></category>
		<category><![CDATA[biomarkers]]></category>
		<category><![CDATA[CCND1]]></category>
		<category><![CDATA[ComBat-seq]]></category>
		<category><![CDATA[DESeq2]]></category>
		<category><![CDATA[gene enrichment analysis]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[MYL9]]></category>
		<category><![CDATA[neurodegeneration]]></category>
		<category><![CDATA[RNA-Seq]]></category>
		<category><![CDATA[Transcriptomics]]></category>
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					<description><![CDATA[A computational study combining RNA sequencing of blood samples with machine learning and rigorous batch correction has identified 18 candidate ALS biomarkers, including the hub genes CCND1 and MYL9, linked to neuroinflammation, muscle dysfunction and cell-cycle dysregulation.]]></description>
		
		
		
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