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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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| 出版年: | Genet Epidemiol |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | 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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