geNetClassifier
Classify diseases and build associated gene networks using gene expression profiles
Bioconductor version: 3.23 · Package version: 1.52.0
Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("geNetClassifier")Details
| Maintainer | Sara Aibar <saibar@usal.es> |
| Author | Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain. |
| License | GPL (>= 2) |
| URL | http://www.cicancer.org |
| Downloads rank | 616 |
| Source branch | RELEASE_3_23 |
| biocViews | Classification, DifferentialExpression, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | geNetClassifier_1.52.0.tar.gz |
| Windows binary (x86_64) | geNetClassifier_1.52.0.zip |
| macOS binary (arm64) | geNetClassifier_1.52.0.tgz |
| macOS binary (x86_64) | geNetClassifier_1.52.0.tgz |
Dependencies
Depends: R (>= 2.10.1), Biobase (>= 2.5.5), EBarrays, minet, methods
Imports: e1071, graphics, grDevices
Suggests: leukemiasEset, RUnit, BiocGenerics
Enhances: RColorBrewer, igraph, infotheo