Package: RNAmodR.ML
Type: Package
Title: Detecting patterns of post-transcriptional modifications using machine learning
Version: 1.12.0
Date: 2021-11-21
Authors@R: c(person("Felix G.M.",
                    "Ernst", 
                    email = "felix.gm.ernst@outlook.com", 
                    role = c("aut", "cre"),
                    comment = c(ORCID = "0000-0001-5064-0928")),
             person("Denis L.J.", 
                    "Lafontaine", 
                    email = "denis.lafontaine@ulb.ac.be", 
                    role = c("ctb")))
Description: RNAmodR.ML extend the functionality of the RNAmodR package and 
    classical detection strategies towards detection through machine learning
    models. RNAmodR.ML provides classes, functions and an example workflow to 
    establish a detection stratedy, which can be packaged.
biocViews: 
    Software, Infrastructure, WorkflowStep, Visualization, Sequencing
License: Artistic-2.0
Encoding: UTF-8
LazyData: false
Depends:
    R (>= 3.6),
    RNAmodR
Imports:
    methods,
    BiocGenerics,
    S4Vectors,
    IRanges,
    GenomicRanges,
    stats,
    ranger
Suggests:
    BiocStyle,
    knitr,
    rmarkdown,
    testthat,
    RNAmodR.Data,
    RNAmodR.AlkAnilineSeq,
    GenomicFeatures,
    Rsamtools,
    rtracklayer,
    keras
Collate: 
    'RNAmodR.ML.R'
    'AllGenerics.R'
    'ModifierMLModel-class.R'
    'ModifierML-class.R'
    'ModifierML-data.R'
    'ModifierMLkeras-class.R'
    'ModifierMLranger-class.R'
    'RNAmodR.ML.example.R'
    'utils.R'
RoxygenNote: 7.1.1
VignetteBuilder: knitr
BugReports: https://github.com/FelixErnst/RNAmodR.ML/issues
URL: https://github.com/FelixErnst/RNAmodR.ML