A Bayesian semiparametric approach to learning about gene–gene interactions in case-control studies-Reference-Cited by-同舟云学术

A Bayesian semiparametric approach to learning about gene–gene interactions in case-control studies

Published:2018-03-06 Issue:16 Volume:45 Page:2906-2928
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Bhattacharya Durba¹²,Bhattacharya Sourabh²

Affiliation:

1. St. Xavier's College, Kolkata, India

2. Interdisciplinary Statistical Research Unit, Indian Statistical Institute, Kolkata, India

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2018.1444741

Reference33 articles.

1. On testing for genetic association in case-control studies when population allele frequencies are known

2. D. Bhattacharya and S. Bhattacharya, A non-Gaussian, nonparametric structure for gene–gene and gene–environment interactions in case-control studies based on hierarchies of Dirichlet processes, 2017. Available at https://arxiv.org/abs/1704.07349.

3. D. Bhattacharya and S. Bhattacharya, Effects of gene–environment and gene–gene interactions in case-control studies: A novel Bayesian semiparametric approach, 2017. Available at http://arxiv.org/abs/1601.03519.

4. Using Principal Components of Genetic Variation for Robust and Powerful Detection of Gene-Gene Interactions in Case-Control and Case-Only Studies

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genetic Interactions Effects of Cardiovascular Disorder Using Computational Models: A Review;Current Biotechnology;2020-12-21

2. Effects of gene–environment and gene–gene interactions in case-control studies: A novel Bayesian semiparametric approach;Brazilian Journal of Probability and Statistics;2020-02-01