Identification of gene–environment interactions with marginal penalization-Reference-Cited by-同舟云学术

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Identification of gene–environment interactions with marginal penalization

Published:2019-11-14 Issue:2 Volume:44 Page:159-196
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Zhang Sanguo¹,Xue Yuan¹²,Zhang Qingzhao³,Ma Chenjin²⁴,Wu Mengyun⁵,Ma Shuangge²^ORCID

Affiliation:

1. School of Mathematics SciencesUniversity of Chinese Academy of SciencesBeijing China

2. Department of BiostatisticsYale UniversityNew Haven Connecticut

3. Department of Statistics, School of EconomicsXiamen UniversityXiamen China

4. School of StatisticsRenmin UniversityBeijing China

5. School of Statistics and ManagementShanghai University of Finance and EconomicsShanghai China

Funder

Foundation for the National Institutes of Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22270

Reference34 articles.

1. Convex hierarchical testing of interactions

2. A lasso for hierarchical interactions

3. Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection

4. Extended Bayesian information criteria for model selection with large model spaces

5. Simultaneously Testing for Marginal Genetic Association and Gene-Environment Interaction

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1. Aligned deep neural network for integrative analysis with high-dimensional input;Journal of Biomedical Informatics;2023-08

2. Gene–environment interaction analysis via deep learning;Genetic Epidemiology;2023-02-19

3. Sparse group variable selection for gene–environment interactions in the longitudinal study;Genetic Epidemiology;2022-06-29

4. Analysis of cancer omics data: a selective review of statistical techniques;Briefings in Bioinformatics;2022-01-18

5. Identifying Gene–Environment Interactions With Robust Marginal Bayesian Variable Selection;Frontiers in Genetics;2021-12-08

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