A cross‐omics data analysis strategy for metabolite‐microbe pair identification
Tao Sun,
Dongnan Sun,
Junliang Kuang
et al.
Abstract:Given the pivotal roles of metabolomics and microbiomics, numerous data mining approaches aim to uncover their intricate connections. However, the complex many‐to‐many associations between metabolome‐microbiome profiles yield numerous statistically significant but biologically unvalidated candidates. To address these challenges, we introduce BiOFI, a strategic framework for identifying metabolome‐microbiome correlation pairs (Bi‐Omics). BiOFI employs a comprehensive scoring system, incorporating intergroup dif… Show more
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