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Incorporating biological information in sparse principal component analysis with application to genomic data
BACKGROUND: Sparse principal component analysis (PCA) is a popular tool for dimensionality reduction, pattern recognition, and visualization of high dimensional data. It has been recognized that complex biological mechanisms occur through concerted relationships of multiple genes working in networks...
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| Veröffentlicht in: | BMC Bioinformatics |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5504598/ https://ncbi.nlm.nih.gov/pubmed/28697740 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1740-7 |
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