OmicsMarkeR

DOI: 10.18129/B9.bioc.OmicsMarkeR    

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 3.12 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see OmicsMarkeR.

Classification and Feature Selection for 'Omics' Datasets

Bioconductor version: 3.12

Tools for classification and feature selection for 'omics' level datasets. It is a tool to provide multiple multivariate classification and feature selection techniques complete with multiple stability metrics and aggregation techniques. It is primarily designed for analysis of metabolomics datasets but potentially extendable to proteomics and transcriptomics applications.

Author: Charles E. Determan Jr. <cdetermanjr at gmail.com>

Maintainer: Charles E. Determan Jr. <cdetermanjr at gmail.com>

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("OmicsMarkeR")

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

Documentation

PDF		Reference Manual

Details

biocViews	Classification, FeatureExtraction, Metabolomics, Software
Version	1.22.0
In Bioconductor since	BioC 3.1 (R-3.2) (6 years)
License	GPL-3
Depends	R (>= 3.2.0)
Imports	graphics, stats, utils, plyr (>= 1.8), data.table (>= 1.9.4), caret (>= 6.0-37), DiscriMiner (>= 0.1-29), e1071 (>= 1.6-1), randomForest (>= 4.6-10), gbm (>= 2.1), pamr (>= 1.54.1), glmnet (>= 1.9-5), caTools (>= 1.14), foreach (>= 1.4.1), permute (>= 0.7-0), assertive (>= 0.3-0), assertive.base (>= 0.0-1)
LinkingTo
Suggests	testthat, BiocStyle, knitr
SystemRequirements
Enhances
URL	http://github.com/cdeterman/OmicsMarkeR
BugReports	http://github.com/cdeterman/OmicsMarkeR/issues/new
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/OmicsMarkeR
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/OmicsMarkeR
Package Short Url	https://bioconductor.org/packages/OmicsMarkeR/
Package Downloads Report	Download Stats