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Integrative Sparse Principal Component Analysis of Gene Expression Data
In the analysis of gene expression data, dimension reduction techniques have been extensively adopted. The most popular one is perhaps the PCA (principal component analysis). To generate more reliable and more interpretable results, the SPCA (sparse PCA) technique has been developed. With the “small...
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| Publicado no: | Genet Epidemiol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5912177/ https://ncbi.nlm.nih.gov/pubmed/29114920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.22089 |
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