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Comparison of Penalty Functions for Sparse Canonical Correlation Analysis
Canonical correlation analysis (CCA) is a widely used multivariate method for assessing the association between two sets of variables. However, when the number of variables far exceeds the number of subjects, such in the case of large-scale genomic studies, the traditional CCA method is not appropri...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2012
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3185379/ https://ncbi.nlm.nih.gov/pubmed/21984855 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2011.07.012 |
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