Identifying gene-gene interactions using penalized tensor regression-Reference-Cited by-同舟云学术

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Identifying gene-gene interactions using penalized tensor regression

Published:2017-10-16 Issue:4 Volume:37 Page:598-610
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Wu Mengyun¹²,Huang Jian³,Ma Shuangge²^ORCID

Affiliation:

1. School of Statistics and Management; Shanghai University of Finance and Economics; 777 Guoding Road Shanghai 200433 China

2. Department of Biostatistics; School of Public Health, Yale University; 60 College Street New Haven CT 06520 USA

3. Department of Applied Mathematics; The Hong Kong Polytechnic University; Hung Hom Kowloon Hong Kong

Funder

National Bureau of Statistics of China

National Natural Science Foundation of China

Innovative Research Team of Shanghai University of Finance and Economics

National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference52 articles.

1. MUC1 and nuclear β-catenin are coexpressed at the invasion front of colorectal carcinomas and are both correlated with tumor prognosis;Baldus;Clin Cancer Res,2004

2. Gene-gene interaction between PPARγ2 and ADRβ3 increases obesity risk in children and adolescents;Ochoa;Int J Obes,2004

3. Detecting gene-gene interactions that underlie human diseases;Cordell;Nat Rev Genet,2009

4. Travelling the world of gene-gene interactions;Van Steen;Brief Bioinform,2012

5. Global tests of p-values for multifactor dimensionality reduction models in selection of optimal number of target genes;Dai;BioData Min,2012

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1. Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes;Frontiers in Genetics;2024-03-07

2. Greedy Variable Selection for High-Dimensional Cox Models;Statistica Sinica;2024

3. Spatial mapping of cellular senescence: emerging challenges and opportunities;Nature Aging;2023-07-03

4. Unified model-free interaction screening via CV-entropy filter;Computational Statistics & Data Analysis;2023-04

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

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