Imports: dplyr, fgsea, igraph, magrittr, tibble, tidyr

Description: 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.)
Imports: dplyr, fgsea, igraph, magrittr, tibble, tidyr, BiocParallel,

Title: A Class for Working with Time Series Based on 'data.table' and
'R6' with Largely Optional Reference Semantics
Authors@R: person("Gerold", "Hepp", email = "ghepp@iwag.tuwien.ac.at", role = c("aut", "cre"))
Description: Basic time series functionalities such as listing of missing
values, application of arbitrary aggregation as well as rolling window
functions and automatic detection of periodicity. As it is mainly based on
'data.table', it is fast and - in combination with the 'R6' package - offers
reference semantics. In addition to its native R6 interface, it provides an
S3 interface inclusive an S3 wrapper method generator for those who prefer
Suggests: dygraphs, fasttime, knitr, magrittr, RColorBrewer, rmarkdown,

Suggests: covr, dygraphs, fasttime, knitr, magrittr, RColorBrewer,

Imports: checkmate, data.table, methods, R6

values, application of arbitrary aggregation as well as rolling (asymmetric)
window functions and automatic detection of periodicity. As it is mainly
based on 'data.table', it is fast and - in combination with the 'R6'
package - offers reference semantics. In addition to its native R6
interface, it provides an S3 interface inclusive an S3 wrapper method
generator for those who prefer the latter.