BioMM
This package is for version 3.13 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: 3.13
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("BioMM")):
Installation
To install this package, start R (version "4.1") 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
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioMM")
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Follow Installation instructions to use this package in your R session.