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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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Detalhes bibliográficos
Publicado no:Transl Cancer Res
Main Authors: Hsu, Ying-Lin, Huang, Po-Yu, Chen, Dung-Tsa
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha: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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