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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("stepwiseCM")
In most cases, you don't need to download the package archive at all.
stepwiseCM
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Stepwise Classification of Cancer Samples using High-dimensional Data Sets
Bioconductor version: Release (3.4)
Stepwise classification of cancer samples using multiple data sets. This package implements the classification strategy using two heterogeneous data sets without actually combining them. Package uses the data type for which full measurements are available at the first stage, and the data type for which only partial measurements are available at the second stage. For incoming new samples package quantifies how much improvement will be obtained if covariates of new samples for the data types at the second stage are measured. This packages suits for the application where study goal is not only obtain high classification accuracy, but also requires economically cheap classifier.
Author: Askar Obulkasim
Maintainer: Askar Obulkasim <askar703 at gmail.com>
Citation (from within R,
enter citation("stepwiseCM")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("stepwiseCM")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("stepwiseCM")
| R Script | stepwiseCM | |
| Reference Manual |
Details
| biocViews | Classification, Microarray, Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) (5.5 years) |
| License | GPL (>2) |
| Depends | R (>= 2.14), randomForest, MAclinical, tspair, pamr, snowfall, glmpath, penalized, e1071, Biobase |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | stepwiseCM_1.20.0.tar.gz |
| Windows Binary | stepwiseCM_1.20.0.zip |
| Mac OS X 10.9 (Mavericks) | stepwiseCM_1.20.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/stepwiseCM/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/stepwiseCM/ |
| Package Downloads Report | Download Stats |
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