BioMM

DOI: 10.18129/B9.bioc.BioMM    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see BioMM.

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

Bioconductor version: 3.9

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 various prior biological meta information.

Author: Junfang Chen and Emanuel Schwarz

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

Installation

To install this package, start R (version "3.6") and enter:

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

BiocManager::install("BioMM")

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("BioMM")

 

HTML	R Script	BioMMtutorial
PDF		Reference Manual
Text		NEWS

Details

biocViews	Classification, GO, Genetics, Pathways, Regression, Software
Version	1.0.0
In Bioconductor since	BioC 3.9 (R-3.6) (< 6 months)
License	GPL-3
Depends	R (>= 3.6)
Imports	stats, utils, grDevices, lattice, BiocParallel, glmnet, rms, nsprcomp, ranger, e1071, variancePartition, ggplot2
LinkingTo
Suggests	BiocStyle, knitr, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	BioMM_1.0.0.tar.gz
Windows Binary	BioMM_1.0.0.zip
Mac OS X 10.11 (El Capitan)	BioMM_1.0.0.tgz
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/
Package Downloads Report	Download Stats