Article

Unfolding and De-confounding: Biologically meaningful causal inference from longitudinal multi-omic networks using <tt>METALICA</tt>

2023-12-13

Abstract excerpt

<h4>ABSTRACT</h4> A key challenge in the analysis of microbiome data is the integration of multi-omic datasets and the discovery of interactions between microbial taxa, their expressed genes, and the metabolites they consume and/or produce. In an effort to improve the state-of-the-art in inferring biologically meaningful multi-omic interactions, we sought to address some of the most fundamental issues in causal i...

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Literature Corpus work: 30a36c0f-54d2-59be-9826-11ab66be1678
DOI: 10.1101/2023.12.12.571384

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