# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "epiomics" in publications use:' type: software license: GPL-3.0-or-later title: 'epiomics: Analysis of Omics Data in Observational Studies' version: 1.1.0 doi: 10.32614/CRAN.package.epiomics abstract: A collection of fast and flexible functions for analyzing omics data in observational studies. Multiple different approaches for integrating multiple 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) ); and a function for performing a mixtures analysis across all omics features using quantile-based g-Computation (as described by Keil et al., (2019) ). authors: - family-names: Goodrich given-names: Jesse email: jagoodri@usc.edu orcid: https://orcid.org/0000-0001-6615-0472 repository: https://goodrich-lab.r-universe.dev commit: be15123a56466d83252c658224048b3b7861c2ea contact: - family-names: Goodrich given-names: Jesse email: jagoodri@usc.edu orcid: https://orcid.org/0000-0001-6615-0472