wavFeatExt

Wavelet-based Feature Extraction for Copy-number Alteration Data

Bioconductor version: 3.23 · Package version: 1.0.0

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.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("wavFeatExt")