Asymptotic Conditional Singular Value Decomposition for High-Dimensional Genomic Data
نویسندگان
چکیده
منابع مشابه
Asymptotic conditional singular value decomposition for high-dimensional genomic data.
High-dimensional data, such as those obtained from a gene expression microarray or second generation sequencing experiment, consist of a large number of dependent features measured on a small number of samples. One of the key problems in genomics is the identification and estimation of factors that associate with many features simultaneously. Identifying the number of factors is also important ...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2010
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2010.01455.x