Joint Lp-Norm and L2,1-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery
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DOI: 10.3389/fgene.2021.621317
Abstract: The dimensionality reduction method accompanied by different norm constraints plays an important role in mining useful information from large-scale gene expression data. In this article, a novel method named Lp-norm and L2,1-norm constrained graph Laplacian… read more here.
Keywords: tumor sample; sample clustering; norm; graph laplacian ... See more keywords