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Joint Lp-Norm and L(2,1)-Norm Constrained Graph Laplacian PCA for Robust Tumor Sample Clustering and Gene Network Module Discovery
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 L(2,1)-norm constrained graph Laplacian principal component analysis (PL21GPCA)...
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| Veröffentlicht in: | Front Genet |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7940841/ https://ncbi.nlm.nih.gov/pubmed/33708239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2021.621317 |
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