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Sparse principal component analysis in cancer research
A critical challenging component in analyzing high-dimensional data in cancer research is how to reduce the dimension of data and how to extract relevant features. Sparse principal component analysis (PCA) is a powerful statistical tool that could help reduce data dimension and select important vari...
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| Publié dans: | Transl Cancer Res |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4692276/ https://ncbi.nlm.nih.gov/pubmed/26719835 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3978/j.issn.2218-676X.2014.05.06 |
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