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VDM Verlag Sparse Canonical Correlation Analysis: Data Integration for regular and high dimensional studies

Name: Sparse Canonical Correlation Analysis: Data Integration for regular and high dimensional studies
Brand: VDM Verlag
Price: 51.0 GBP
Availability: InStock

Genetics

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Description

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.

Product Specifications

Brand: VDM Verlag
Format: paperback
ASIN: 3639158881
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Genetics
Domain: Amazon UK
Release Date: 04 June 2009
Listed Since: 24 June 2009

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VDM Verlag Sparse Canonical Correlation Analysis: Data Integration for regular and high dimensional studies

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