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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...

詳細記述

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書誌詳細
出版年:Genet Epidemiol
主要な著者: Liu, Mengque, Fan, Xinyan, Fang, Kuangnan, Zhang, Qingzhao, Ma, Shuangge
フォーマット: Artigo
言語:Inglês
出版事項: 2017
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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