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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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Bibliografiska uppgifter
I publikationen:Genet Epidemiol
Huvudupphovsmän: Liu, Mengque, Fan, Xinyan, Fang, Kuangnan, Zhang, Qingzhao, Ma, Shuangge
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2017
Ämnen:
Länkar: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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