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BioMM

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see BioMM.

BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data


Bioconductor version: Release (3.18)

The identification of reproducible biological patterns from high-dimensional omics data is a key factor in understanding the biology of complex disease or traits. Incorporating prior biological knowledge into machine learning is an important step in advancing such research. We have proposed a biologically informed multi-stage machine learing framework termed BioMM specifically for phenotype prediction based on omics-scale data where we can evaluate different machine learning models with prior biological meta information.

Author: Junfang Chen and Emanuel Schwarz

Maintainer: Junfang Chen <junfang.chen33 at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:


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

BiocManager::install("BioMM")

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

Documentation

Reference Manual PDF

Details

biocViews Classification, GO, Genetics, Pathways, Regression, Software
Version 1.18.0
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-3
Depends R (>= 3.6)
Imports stats, utils, grDevices, lattice, BiocParallel, glmnet, rms, precrec, nsprcomp, ranger, e1071, ggplot2, vioplot, CMplot, imager, topGO, xlsx
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Package Archives

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

Source Package
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Source Repository git clone https://git.bioconductor.org/packages/BioMM
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BioMM
Package Short Url https://bioconductor.org/packages/BioMM/
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