epiomics: Analysis of Omics Data in Observational Studies
A collection of fast and flexible functions for analyzing omics
data in observational studies. Multiple different approaches for integrating
environmental/genetic factors, omics data, and/or phenotype data are
implemented. This includes functions for performing omics wide association
studies with one or more variables of interest as the exposure or outcome;
a function for performing a meet in the middle analysis for linking
exposures, omics, and outcomes (as described by Chadeau-Hyam et al., (2010)
<doi:10.3109/1354750X.2010.533285>); and a function for performing a
mixtures analysis across all omics features using quantile-based
g-Computation (as described by Keil et al., (2019) <doi:10.1289/EHP5838>).
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