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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("cancerclass")
In most cases, you don't need to download the package archive at all.
cancerclass
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see cancerclass.
Development and validation of diagnostic tests from high-dimensional molecular data
Bioconductor version: 3.4
The classification protocol starts with a feature selection step and continues with nearest-centroid classification. The accurarcy of the predictor can be evaluated using training and test set validation, leave-one-out cross-validation or in a multiple random validation protocol. Methods for calculation and visualization of continuous prediction scores allow to balance sensitivity and specificity and define a cutoff value according to clinical requirements.
Author: Jan Budczies, Daniel Kosztyla
Maintainer: Daniel Kosztyla <danielkossi at hotmail.com>
Citation (from within R,
enter citation("cancerclass")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cancerclass")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("cancerclass")
| R Script | Cancerclass: An R package for development and validation of diagnostic tests from high-dimensional molecular data | |
| Reference Manual |
Details
| biocViews | Cancer, Classification, Microarray, Software, Visualization |
| Version | 1.18.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) (4.5 years) |
| License | GPL 3 |
| Depends | R (>= 2.14.0), Biobase, binom, methods, stats |
| Imports | |
| LinkingTo | |
| Suggests | cancerdata |
| 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 | cancerclass_1.18.0.tar.gz |
| Windows Binary | cancerclass_1.18.0.zip (32- & 64-bit) |
| Mac OS X 10.9 (Mavericks) | cancerclass_1.18.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/cancerclass/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/cancerclass/ |
| Package Downloads Report | Download Stats |
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