Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses

Sparse Variable Selection on High Dimensional Heterogeneous Data With Tree Structured Responses

We consider the problem of sparse variable selection on high dimension heterogeneous data sets, which has been taking on renewed interest recently due to the growth of biological and medical data sets with complex, non-i.i.d. structures and huge quantities of response variables. The heterogeneity is...

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Bibliographic Details
Main Authors: Hui Liu, Xiang Liu, Jing Diao, Wenting Ye, Xueling Liu, Dehui Wei
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Confounding factors
genome-wide association study
mixed model
variable selection
Online Access:https://ieeexplore.ieee.org/document/10488404/

Internet

https://ieeexplore.ieee.org/document/10488404/

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