Gene–environment interaction identification via penalized robust divergence-Reference-Cited by-同舟云学术

Gene–environment interaction identification via penalized robust divergence

Published:2021-11 Issue: Volume: Page:
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biometrical Journal

Author:

Ren Mingyang¹²,Zhang Sanguo¹²^ORCID,Ma Shuangge³,Zhang Qingzhao⁴

Affiliation:

1. School of Mathematics Sciences University of Chinese Academy of Sciences Beijing P. R. China

2. Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing P. R. China

3. Department of Biostatistics Yale School of Public Health New Haven CT USA

4. Department of Statistics and Data Science School of Economics Wang Yanan Institute for Studies in Economics Fujian Key Lab of Statistics Xiamen University Fujian P. R. China

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

National Institutes of Health

University of Chinese Academy of Sciences Education Foundation

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bimj.202000157

Reference55 articles.

1. Exploring specific prognostic biomarkers in triple-negative breast cancer

2. Robust and efficient estimation by minimising a density power divergence

3. SCD5-induced oleic acid production reduces melanoma malignancy by intracellular retention of SPARC and cathepsin B

4. A lasso for hierarchical interactions

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