Article
Multi-scale variational autoencoder for imputation of missing values in untargeted metabolomics using whole-genome sequencing data.
Computers in biology and medicine - 1 Sept 2024
Zhao Chen, Su Kuan-Jui, Wu Chong, Cao Xuewei, Sha Qiuying, Li Wu, Luo Zhe, Qing Tian, Qiu Chuan, Zhao Lan Juan, Liu Anqi, Jiang Lindong, Zhang Xiao, Shen Hui, Zhou Weihua, Deng Hong-Wen
Abstract excerpt
BACKGROUND: Missing data is a common challenge in mass spectrometry-based metabolomics, which can lead to biased and incomplete analyses. The integration of whole-genome sequencing (WGS) data with metabolomics data has emerged as a promising approach to enhance the accuracy of data imputation in metabolomics studies. METHOD: In this study, we propose a novel method that leverages the information from WGS data and...
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