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> and Mueller, Bernd and Rebholz-Schuhmann, Dietrich (2020) <doi:10.1007/978-3-030-43887-6_52>.
Version: | 1.0 |
Depends: | R (≥ 3.6.0) |
Imports: | hash, ggplot2, testthat, gridExtra, TopKLists, stringr, xtable, mongolite, stats, VennDiagram, cowplot |
Suggests: | knitr, rmarkdown |
Published: | 2021-02-20 |
Author: | Bernd Mueller |
Maintainer: | Bernd Mueller <bernd.mueller at zbmed.de> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | epos results |
Reference manual: | epos.pdf |
Package source: | epos_1.0.tar.gz |
Windows binaries: | r-devel: epos_1.0.zip, r-release: epos_1.0.zip, r-oldrel: epos_1.0.zip |
macOS binaries: | r-release: epos_1.0.tgz, r-oldrel: epos_1.0.tgz |
Old sources: | epos archive |
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