This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see BioMM.
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 (from within R,
enter citation("BioMM")
):
To install this package, start R (version "4.1") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioMM")
HTML | R Script | BioMMtutorial |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, GO, Genetics, Pathways, Regression, Software |
Version | 1.8.0 |
In Bioconductor since | BioC 3.9 (R-3.6) (2.5 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 |
LinkingTo | |
Suggests | BiocStyle, knitr, RUnit, BiocGenerics |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | BioMM_1.8.0.tar.gz |
Windows Binary | BioMM_1.8.0.zip |
macOS 10.13 (High Sierra) | BioMM_1.8.0.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 |
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