BHCox: Bayesian heredity-constrained Cox proportional hazards models for detecting gene-environment interactions

In summary, BHCox can be used to detect the main effects and interactions and thus have significant implications for the discovery of high-dimensional interactions in censored survival outcome data.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-02-18
DOI
https://doi.org/10.1186/s12859-025-06077-5
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

BHCox: Bayesian heredity-constrained Cox proportional hazards models for detecting gene-environment interactions

Yueping Shen, Qiang Han, Na Sun, Hongpeng Sun et al.
BMC Bioinformatics
Genetic Mapping and Diversity in Plants and Animals
article

BHCox: Bayesian heredity-constrained Cox proportional hazards models for detecting gene-environment interactions

Yueping Shen, Qiang Han, Na Sun, Hongpeng Sun, Yu Wang, Zhen Sun, Mengtong Sun
article en

Abstract

In summary, BHCox can be used to detect the main effects and interactions and thus have significant implications for the discovery of high-dimensional interactions in censored survival outcome data.

BMC BioinformaticsVol. 26(1)
Soochow University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 96%
Genetic Mapping and Diversity in Plants and Animals
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