Package: wavFeatExt Type: Package Title: Wavelet-based Feature Extraction for Copy-number Alteration Data Version: 1.1.0 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.r-universe.dev Date/Publication: 2026-04-28 13:07:13 UTC RemoteUrl: https://github.com/bioc/wavFeatExt RemoteRef: HEAD RemoteSha: 62f26cb7ae4946b720e082819bfad3ac9ed73a3d NeedsCompilation: no Packaged: 2026-06-05 06:44:28 UTC; root Author: Maharani Ahsani Ummi [aut, cre], Arief Gusnanto [aut] Maintainer: Maharani Ahsani Ummi