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GSA-PCA: gene set generation by principal component analysis of the Laplacian matrix of a metabolic network
BACKGROUND: Gene Set Analysis (GSA) has proven to be a useful approach to microarray analysis. However, most of the method development for GSA has focused on the statistical tests to be used rather than on the generation of sets that will be tested. Existing methods of set generation are often overl...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626710/ https://www.ncbi.nlm.nih.gov/pubmed/22876834 http://dx.doi.org/10.1186/1471-2105-13-197 |