Statistical significance of variables driving systematic variation in high-dimensional data
نویسندگان
چکیده
منابع مشابه
Statistical significance of variables driving systematic variation in high-dimensional data
MOTIVATION There are a number of well-established methods such as principal component analysis (PCA) for automatically capturing systematic variation due to latent variables in large-scale genomic data. PCA and related methods may directly provide a quantitative characterization of a complex biological variable that is otherwise difficult to precisely define or model. An unsolved problem in thi...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2014
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btu674