AutoFocus: a hierarchical framework to explore multi-omic disease associations spanning multiple scales of biomolecular interaction
Author:
Funder
U.S. Department of Health & Human Services | NIH | National Institute on Aging
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s42003-024-06724-2.pdf
Reference72 articles.
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2. Halama, A. et al. A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes. Nat. Commun. 15, 7111 (2024).
3. Bartel, J. et al. The Human Blood Metabolome-Transcriptome Interface. PLoS Genet. 11, https://doi.org/10.1371/journal.pgen.1005274 (2015).
4. Ritchie, M. D., Holzinger, E. R., Li, R., Pendergrass, S. A. & Kim, D. Methods of integrating data to uncover genotype–phenotype interactions. Nat. Rev. Genet. 16, 85–97 (2015).
5. Kopczynski, D. et al. Multi-OMICS: a critical technical perspective on integrative lipidomics approaches. Biochim. Biophys. Acta Mol. Cell Biol. Lipids 1862, 808–811 (2017).
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