Identification of Gene-Environment Interactions by Non-Parametric Kendall’s Partial Correlation with Application to TCGA Ultrahigh-Dimensional Survival Genomic Data

Identification of Gene-Environment Interactions by Non-Parametric Kendall’s Partial Correlation with Application to TCGA Ultrahigh-Dimensional Survival Genomic Data

Background: In biomedical and epidemiological studies, gene-environment (G-E) interactions play an important role in the etiology and progression of many complex diseases. In ultra-high-dimensional survival genomic data, two common approaches (marginal and joint models) are proposed to determine imp...

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Bibliographic Details
Main Authors: Jie-Huei Wang, Chun-Ting Yang
Format: Article
Language:English
Published: IMR Press 2022-07-01
Series:Frontiers in Bioscience-Landmark
Subjects:
gene-environment interaction
kendall's correlation
marginal modeling
partial correlation
survival prediction
tcga
Online Access:https://www.imrpress.com/journal/FBL/27/8/10.31083/j.fbl2708225

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https://www.imrpress.com/journal/FBL/27/8/10.31083/j.fbl2708225

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