CMA
This is the released version of CMA; for the devel version, see CMA.
Synthesis of microarray-based classification
DOI: 10.18129/B9.bioc.CMA
Bioconductor version: Release (3.23)
This package provides a comprehensive collection of various microarray-based classification algorithms both from Machine Learning and Statistics. Variable Selection, Hyperparameter tuning, Evaluation and Comparison can be performed combined or stepwise in a user-friendly environment.
Author: Martin Slawski <ms at cs.uni-sb.de>, Anne-Laure Boulesteix <boulesteix at ibe.med.uni-muenchen.de>, Christoph Bernau <bernau at ibe.med.uni-muenchen.de>.
Maintainer: Roman Hornung <hornung at ibe.med.uni-muenchen.de>
citation("CMA")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CMA")
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("CMA")| CMA_vignette.pdf | R Script | |
| Reference Manual |
Details
| biocViews | Classification, DecisionTree, Software |
| Version | 1.70.0 |
| In Bioconductor since | BioC 2.3 (R-2.8) (18 years) |
| License | GPL (>= 2) |
| Depends | R (>= 2.10), methods, stats, Biobase |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | MASS, class, nnet, glmnet, e1071, randomForest, plsgenomics, gbm, mgcv, corpcor, limma, st, mvtnorm |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CMA_1.70.0.tar.gz |
| Windows Binary (x86_64) | CMA_1.70.0.zip |
| macOS Binary (big-sur-x86_64) | CMA_1.70.0.tgz |
| macOS Binary (sonoma-arm64) | CMA_1.70.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/CMA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CMA |
| Bioc Package Browser | https://code.bioconductor.org/browse/CMA/ |
| Package Short Url | https://bioconductor.org/packages/CMA/ |
| Package Downloads Report | Download Stats |