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cff-version: 1.2.0
message: 'To cite package "wavFeatExt" in publications use:'
type: software
license: GPL-3.0-only
title: 'wavFeatExt: Wavelet-based Feature Extraction for Copy-number Alteration Data'
version: 1.1.0
doi: 10.32614/CRAN.package.wavFeatExt
abstract: 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.
authors:
- family-names: Ummi
  given-names: Maharani Ahsani
  email: maharaniahsani@itb.ac.id
- family-names: Gusnanto
  given-names: Arief
repository: https://bioc.r-universe.dev
repository-code: https://github.com/maharaniau/wavFeatExt
commit: 62f26cb7ae4946b720e082819bfad3ac9ed73a3d
url: https://github.com/maharaniau/wavFeatExt
date-released: '2026-04-28'
contact:
- family-names: Ummi
  given-names: Maharani Ahsani
  email: maharaniahsani@itb.ac.id