A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data

A non-negative spike-and-slab lasso generalized linear stacking prediction modeling method for high-dimensional omics data

Abstract Background High-dimensional omics data are increasingly utilized in clinical and public health research for disease risk prediction. Many previous sparse methods have been proposed that using prior knowledge, e.g., biological group structure information, to guide the model-building process....

Full description

Bibliographic Details
Main Authors: Junjie Shen, Shuo Wang, Yongfei Dong, Hao Sun, Xichao Wang, Zaixiang Tang
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Bioinformatics
Subjects:
Stacking Bayesian method
Non-negative spike-and-slab prior
Omics segmentation
Online Access:https://doi.org/10.1186/s12859-024-05741-6

Internet

https://doi.org/10.1186/s12859-024-05741-6

Similar Items