Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data-Reference-Cited by-同舟云学术

Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data

Published:2018-05-11 Issue:4 Volume:74 Page:1362-1371
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Safo Sandra E.¹^ORCID,Ahn Jeongyoun²,Jeon Yongho³,Jung Sungkyu⁴

Affiliation:

1. Division of BiostatisticsUniversity of MinnesotaMinneapolisMinnesotaU.S.A.

2. Department of StatisticsUniversity of GeorgiaAthensGeorgiaU.S.A.

3. Department of Applied StatisticsYonsei UniversitySeoulSouth Korea

4. Department of StatisticsUniversity of PittsburghPittsburghPennsylvaniaU.S.A.

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.12886

Reference30 articles.

1. A Direct Estimation Approach to Sparse Linear Discriminant Analysis

2. A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation

3. The Dantzig selector: Statistical estimation when p is much larger than n;Candes E.;The Annals of Statistics,2007

4. Comparison of penalty functions for sparse canonical correlation analysis

5. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization

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