Bioconductor 3.23 Release Schedule

wavFeatExt

This is the development version of wavFeatExt; to use it, please install the devel version of Bioconductor.

Wavelet-based Feature Extraction for Copy-number Alteration Data


Bioconductor version: Development (3.23)

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.

Author: Maharani Ahsani Ummi [aut, cre], Arief Gusnanto [aut]

Maintainer: Maharani Ahsani Ummi <maharaniahsani at itb.ac.id>

Citation (from within R, enter citation("wavFeatExt")):

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("wavFeatExt")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("wavFeatExt")
Introduction to wavFeatExt HTML R Script
Reference Manual PDF

Details

biocViews Classification, CopyNumberVariation, FeatureExtraction, GenomicVariation, Software
Version 0.99.21
In Bioconductor since BioC 3.23 (R-4.6)
License GPL-3
Depends R (>= 4.6)
Imports DNAcopy, wavethresh, MASS, randomForest, glmnet, pROC, neuralnet, e1071, class, caret, ica, stats, graphics, utils, pls, matrixStats
System Requirements
URL https://github.com/maharaniau/wavFeatExt
Bug Reports https://github.com/maharaniau/wavFeatExt/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package wavFeatExt_0.99.21.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64) wavFeatExt_0.99.21.tgz
Source Repository git clone https://git.bioconductor.org/packages/wavFeatExt
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/wavFeatExt
Bioc Package Browser https://code.bioconductor.org/browse/wavFeatExt/
Package Short Url https://bioconductor.org/packages/wavFeatExt/
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