Evaluation of predictive accuracy of gene expression in pigs using machine learning models

Evaluation of predictive accuracy of gene expression in pigs using machine learning models

ObjectiveThe goal was to compare the performance of various machine learning models in predicting gene expression in pigs utilizing single nucleotide polymorphisms (SNPs), and to investigate the relationship between cis-heritability (cis-h2), the number of cis-SNPs and the prediction accuracy of dif...

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Bibliographic Details
Main Authors: Tianle ZHOU, Jinyan TENG, Zhiting XU, Zhe ZHANG
Format: Article
Language:zho
Published: South China Agricultural University 2025-07-01
Series:Huanan Nongye Daxue xuebao
Subjects:
machine learning
pig
gene expression
transcriptome-wide association study
cis-heritability
cis-snp
Online Access:https://journal.scau.edu.cn/article/doi/10.7671/j.issn.1001-411X.202409024
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https://journal.scau.edu.cn/article/doi/10.7671/j.issn.1001-411X.202409024

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