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