A tree‐based gene–environment interaction analysis with rare features-Reference-Cited by-同舟云学术

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A tree‐based gene–environment interaction analysis with rare features

Published:2022-03 Issue:5 Volume:15 Page:648-674
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis

Author:

Liu Mengque¹,Zhang Qingzhao²,Ma Shuangge³^ORCID

Affiliation:

1. School of Journalism and New Media, Xi'an Jiaotong University Shanxi Xi'an China

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

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

Funder

Higher Education Discipline Innovation Project

National Institutes of Health

National Natural Science Foundation of China

National Science Foundation of Sri Lanka

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11578

Reference52 articles.

1. Genes and environments, development and time

2. Methods for Investigating Gene-Environment Interactions in Candidate Pathway and Genome-Wide Association Studies

3. Robust genetic interaction analysis

4. Penalized Variable Selection for Lipid–Environment Interactions in a Longitudinal Lipidomics Study

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1. Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data;Journal of the American Statistical Association;2024-04-12

2. Springer: An R package for bi-level variable selection of high-dimensional longitudinal data;Frontiers in Genetics;2023-04-06

3. Interep: An R Package for High-Dimensional Interaction Analysis of the Repeated Measurement Data;Genes;2022-03-19

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