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Package: deepG
Title: Deep Learning for Genome Sequence Data
Version: 0.3.1
Encoding: UTF-8
Authors@R: c(
       person(given = "Philipp",
              family = "Münch",
              role = "aut",
              email = "philipp.muench@helmholtz-hzi.de"),
       person(given = "René",
              family = "Mreches",
              role = c("aut"),
              email = "mr.francois@gmx.de"),
       person(given = "Martin",
              family = "Binder",
              role = c("aut", "cre"),
              email = "developer.mb706@mb706.com"),
       person(given = "Hüseyin Anil",
              family = "Gündüz",
              role = "aut",
              email = "anil.guenduez@stat.uni-muenchen.de"),
       person(given = "Xiao-Yin",
              family = "To",
              role = "aut",
              email = "x.to@stat.uni-muenchen.de"),        
       person(given = "Alice",
              family = "McHardy",
              role = "aut",
              email = "alice.mchardy@helmholtz-hzi.de")
     )
Description: Training and applying deep learning models to genome sequence data.
  Applications include data processing, model fitting, model evaluation, model optimization and inference.
  A few genome datasets for testing are provided, as is the possibility to extract deep representations.
License: LGPL (>= 3)
URL: https://github.com/GenomeNet/deepG,
    https://deepg.de/
BugReports: https://github.com/GenomeNet/deepG/issues
Roxygen: list(markdown = TRUE)
Depends:
    R (>= 3.5.0)
Imports:
    hdf5r,
    keras,
    tensorflow,
    reticulate,
    data.table,
    abind,
    stringr,
    purrr,
    magrittr,
    dplyr,
    ggplot2,
    yardstick,
    jpeg,
    png,
    microseq,
    checkmate,
    readr
NeedsCompilation: yes
RoxygenNote: 7.3.1
Suggests: 
    testthat,
    circlize,
    pROC,
    PRROC,
    ComplexHeatmap,
    knitr,
    rmarkdown,
    devtools,
    spelling
VignetteBuilder: 
    knitr
Language: en-US