This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see curatedOvarianData.
Bioconductor version: 3.16
The curatedOvarianData package provides data for gene expression analysis in patients with ovarian cancer.
Author: Benjamin F. Ganzfried, Markus Riester, Steve Skates, Victoria Wang, Thomas Risch, Benjamin Haibe-Kains, Svitlana Tyekucheva, Jie Ding, Ina Jazic, Michael Birrer, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron
Maintainer: Levi Waldron <lwaldron.research at gmail.com>
Citation (from within R,
enter citation("curatedOvarianData")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("curatedOvarianData")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("curatedOvarianData")
R Script | curatedOvarianData_vignette.pdf | |
Reference Manual | ||
Text | NEWS |
biocViews | CancerData, ExperimentData, MicroarrayData, OvarianCancerData, RNASeqData |
Version | 1.36.0 |
License | Artistic-2.0 |
Depends | R (>= 2.10.0), affy |
Imports | BiocGenerics |
LinkingTo | |
Suggests | survival, RUnit, metafor, genefilter, logging, sva, xtable, futile.logger, BiocStyle |
SystemRequirements | |
Enhances | |
URL | http://bcb.dfci.harvard.edu/ovariancancer |
Depends On Me | |
Imports Me | |
Suggests Me | doppelgangR |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | curatedOvarianData_1.36.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/curatedOvarianData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/curatedOvarianData |
Package Short Url | https://bioconductor.org/packages/curatedOvarianData/ |
Package Downloads Report | Download Stats |
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