Package: wavFeatExt
Type: Package
Title: Wavelet-based Feature Extraction for Copy-number Alteration Data
Version: 1.0.0
Authors@R: c(
    person("Maharani Ahsani", "Ummi",
           email = "maharaniahsani@itb.ac.id",
           role = c("aut", "cre")),
    person("Arief", "Gusnanto",
           role = "aut")
  )
Description: Provides tools for simulating copy-number alteration (CNA)
        profiles, applying a non-decimated Haar wavelet transform to
        genomic signals, and extracting wavelet-derived features for
        use in supervised learning. Multiple machine learning methods
        including lasso and elastic-net regularisation, random forest,
        partial least squares, neural networks and k-nearest neighbours
        are implemented to train predictive models from genomic feature
        vectors. The workflow enables end-to-end analysis from CNA
        simulation to feature extraction and classification.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.5)
Imports: DNAcopy, wavethresh, MASS, randomForest, glmnet, pROC,
        neuralnet, e1071, class, caret, ica, stats, graphics, utils,
        pls, matrixStats
Suggests: BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
biocViews: CopyNumberVariation, GenomicVariation, FeatureExtraction,
        Classification,
URL: https://github.com/maharaniau/wavFeatExt
BugReports: https://github.com/maharaniau/wavFeatExt/issues
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Config/testthat/edition: 3
Config/pak/sysreqs: libicu-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 13:07:13 UTC
RemoteUrl: https://github.com/bioc/wavFeatExt
RemoteRef: RELEASE_3_23
RemoteSha: 6656f3d4e4bfec710bcc242d7d6f411096c36fe4
NeedsCompilation: no
Packaged: 2026-04-30 07:04:00 UTC; root
Author: Maharani Ahsani Ummi [aut, cre],
  Arief Gusnanto [aut]
Maintainer: Maharani Ahsani Ummi <maharaniahsani@itb.ac.id>
Built: R 4.6.0; ; 2026-04-30 08:28:46 UTC; unix
