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It is a novel tool used to identify the candidate drugs against a particular disease based on the drug target set enrichment analysis. It assumes the most effective drugs are those with a closer affinity in the protein-protein interaction network to the specified disease. (See Gómez-Carballa et al. (2022) <doi:10.1016/j.envres.2022.112890> and Feng et al. (2022) <doi:10.7150/ijms.67815> for disease expression profiles; see Wishart et al. (2018) <doi:10.1093/nar/gkx1037> and Gaulton et al. (2017) <doi:10.1093/nar/gkw1074> for drug target information; see Kanehisa et al. (2021) <doi:10.1093/nar/gkaa970> for the details of KEGG database.)
| Version: | 0.0.3 |
| Depends: | R (≥ 4.0.0) |
| Imports: | dplyr, fgsea, igraph, magrittr, tibble, tidyr, BiocParallel, stringr |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-11-06 |
| Author: | Junwei Han [aut, cre, cph], Yinchun Su [aut] |
| Maintainer: | Junwei Han <hanjunwei1981 at 163.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | DTSEA results |
| Reference manual: | DTSEA.pdf |
| Vignettes: |
DTSEA User Guide |
| Package source: | DTSEA_0.0.3.tar.gz |
| Windows binaries: | r-devel: DTSEA_0.0.3.zip, r-release: DTSEA_0.0.3.zip, r-oldrel: DTSEA_0.0.3.zip |
| macOS binaries: | r-release (arm64): DTSEA_0.0.3.tgz, r-oldrel (arm64): DTSEA_0.0.3.tgz, r-release (x86_64): DTSEA_0.0.3.tgz, r-oldrel (x86_64): DTSEA_0.0.3.tgz |
| Old sources: | DTSEA archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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