Книга Sparse Canonical Correlation Analysis Elena Parkhomenko

Sparse Canonical Correlation Analysis

Data Integration for regular and high dimensional studies

Автор: Elena Parkhomenko
Език: Английски език
Корици: С меки корици
Издател: VDM Verlag Dr. Müller
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
61.22 119.73 лв
Sparse Canonical Correlation Analysis (SCCA) §performs data integration by simultaneous analysis §of...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2009
страници
152
EAN
9783639158885
Enbook ID
06824343
Издател
Теглоt
219
Размери
150 x 220 x 9

Пълно описание

Sparse Canonical Correlation Analysis (SCCA) §performs data integration by simultaneous analysis §of 2 data types to find the relationships between §them. It is applicable to all studies including §large studies with limited sample size. SCCA §provides sparse solutions that include only a small §subset of variables. Sparse results aid in §biological interpretability and can be used for §hypothesis generation. This monograph presents §methodology for SCCA and evaluation of its §properties using simulated data. The practical use §of SCCA is illustrated by applying it to the study §of natural variation in human gene expression. Two §extensions of SCCA - adaptive SCCA and modified §adaptive SCCA are also presented. Their performance §is evaluated and compared using simulated data and §adaptive SCCA is applied to the study of natural §variation in human gene expression.

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