Analysis and visualization of similarities between epilepsy ontologies based on text mining results by comparing ranked lists of co-occurring drug terms in the BioASQ corpus. The ranked result lists of neurological drug terms co-occurring with terms from the epilepsy ontologies EpSO, ESSO, EPILONT, EPISEM and FENICS undergo further analysis. The source data to create the ranked lists of drug names is produced using the text mining workflows described in Mueller, Bernd and Hagelstein, Alexandra (2016) <doi:10.4126/FRL01-006408558>, Mueller, Bernd et al. (2017) <doi:10.1007/978-3-319-58694-6_22>, Mueller, Bernd and Rebholz-Schuhmann, Dietrich (2020) <doi:10.1007/978-3-030-43887-6_52>, and Mueller, Bernd et al. (2022) <doi:10.1186/s13326-021-00258-w>.
Version: 1.1 Depends: R (≥ 3.6.0) Imports: hash, ggplot2, testthat, gridExtra, TopKLists, stringr, xtable, mongolite, stats, VennDiagram, cowplot Suggests: knitr, rmarkdown Published: 2024-03-15 DOI: 10.32614/CRAN.package.epos Author: Bernd Mueller Maintainer: Bernd Mueller <bernd.mueller at zbmed.de> BugReports: https://github.com/bernd-mueller/epos/issues License: LGPL (≥ 3) URL: https://github.com/bernd-mueller/epos NeedsCompilation: no Materials: README CRAN checks: epos results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=epos to link to this page.
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