Unfolding and de-confounding: biologically meaningful causal inference from longitudinal multi-omic networks using METALICA
Author:
Affiliation:
1. Bioinformatics Research Group (BioRG), Florida International University, Miami, Florida, USA
2. Florida International University, Miami, Florida, USA
3. Biomolecular Sciences Institute, Florida International University, Miami, Florida, USA
Abstract
Funder
HHS | NIH | OSC | Common Fund
University Graduate School, Florida International University
Publisher
American Society for Microbiology
Link
https://journals.asm.org/doi/pdf/10.1128/msystems.01303-23
Reference76 articles.
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3. Use of Metatranscriptomics in Microbiome Research
4. An Invitation to the Marriage of Metagenomics and Metabolomics
5. A novel approach for combining the metagenome, metaresistome, metareplicome and causal inference to determine the microbes and their antibiotic resistance gene repertoire that contribute to dysbiosis
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