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	<title>非負矩陣分解（NMF） Archives &#8212; MATLAB Number ONE</title>
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	<title>非負矩陣分解（NMF） Archives &#8212; MATLAB Number ONE</title>
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		<title>Tumor Clustering Using Non-negative Matrix Factorization with Gene Selection</title>
		<link>https://matlab1.com/shop/matlab-code/tumor-clustering-using-non-negative-matrix-factorization-with-gene-selection/</link>
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		<pubDate>Mon, 16 Apr 2018 06:48:50 +0000</pubDate>
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					<description><![CDATA[<p>&#160; In this project, we employed ICA to model the gene expression data for gene selection, and then applied NMF and its extensions, i.e., SNMF and NMFSC to cancer clustering using the selected genes. The proposed method was validated on the leukemia dataset, embryonal tumors dataset from the central nervous system, and the medulloblastoma dataset. It can be found that improved [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/tumor-clustering-using-non-negative-matrix-factorization-with-gene-selection/">Tumor Clustering Using Non-negative Matrix Factorization with Gene Selection</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
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