A collection of functions and classes which serve as the foundation 
    for our lab's suite of R packages, such as 'PharmacoGx' and 'RadioGx'. This 
    package was created to abstract shared functionality from other lab package 
    releases to increase ease of maintainability and reduce code repetition in 
    current and future 'Gx' suite programs. Major features include a 'CoreSet' 
    class, from which 'RadioSet' and 'PharmaSet' are derived, along with get and 
    set methods for each respective slot. Additional functions related to 
    fitting and plotting dose response curves, quantifying statistical 
    correlation and calculating area under the curve (AUC) or survival fraction
    (SF) are included. For more details please see the included documentation, 
    as well as: 
    Smirnov, P., Safikhani, Z., El-Hachem, N., Wang, D., She, A., Olsen, C., 
      Freeman, M., Selby, H., Gendoo, D., Grossman, P., Beck, A., Aerts, H., 
      Lupien, M., Goldenberg, A. (2015) <doi:10.1093/bioinformatics/btv723>.
    Manem, V., Labie, M., Smirnov, P., Kofia, V., Freeman, M., Koritzinksy, M.,
      Abazeed, M., Haibe-Kains, B., Bratman, S. (2018) <doi:10.1101/449793>.

Biobase, S4Vectors, SummarizedExperiment, piano, BiocParallel,
BiocGenerics, methods, stats, utils, graphics, grDevices, lsa

Petr Smirnov [aut],
  Ian Smith [aut],
  Christopher Eeles [aut],
  Benjamin Haibe-Kains [aut, cre]

c(person("Gennady", "Korotkevich", role = "aut"),
             person("Vladimir", "Sukhov", role = "aut"),
			 person("Alexey", "Sergushichev", email = "alsergbox@gmail.com", role = c("aut", "cre")))

The package implements an algorithm for fast gene set enrichment
    analysis. Using the fast algorithm allows to make more permutations and get
    more fine grained p-values, which allows to use accurate stantard approaches to
    multiple hypothesis correction.

Rcpp, data.table, BiocParallel, stats, ggplot2 (>= 2.2.0),
gridExtra, grid, fastmatch, Matrix, utils

testthat, knitr, rmarkdown, reactome.db, AnnotationDbi,
parallel, org.Mm.eg.db, limma, GEOquery