An Improved Expectation–Maximization Bayesian Algorithm for GWAS

An Improved Expectation–Maximization Bayesian Algorithm for GWAS

Genome-wide association studies (GWASs) are flexible and comprehensive tools for identifying single nucleotide polymorphisms (SNPs) associated with complex traits or diseases. The whole-genome Bayesian models are an effective way of incorporating important prior information into modeling. Bayesian m...

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Bibliographic Details
Main Authors: Ganwen Zhang, Jianini Zhao, Jieru Wang, Guo Lin, Lin Li, Fengfei Ban, Meiting Zhu, Yangjun Wen, Jin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Mathematics
Subjects:
GAWS
Bayesian method
mixed linear model
candidate gene
Online Access:https://www.mdpi.com/2227-7390/12/13/1944

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https://www.mdpi.com/2227-7390/12/13/1944

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