- Home
- Bioconductor 3.0
- Experiment Packages
- curatedOvarianData
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("curatedOvarianData")
In most cases, you don't need to download the package archive at all.
curatedOvarianData
Clinically Annotated Data for the Ovarian Cancer Transcriptome
Bioconductor version: 3.0
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 <levi.waldron at hunter.cuny.edu>
Citation (from within R,
enter citation("curatedOvarianData")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("curatedOvarianData")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("curatedOvarianData")
| curatedOvarianData_vignette.pdf | ||
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Cancer, ExperimentData, Ovarian, RNAExpressionData |
| Version | 1.3.5 |
| 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 | ClassifyR, simulatorZ |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | curatedOvarianData_1.3.5.tar.gz |
| Windows Binary | curatedOvarianData_1.3.5.zip |
| Mac OS X 10.6 (Snow Leopard) | curatedOvarianData_1.3.5.tgz |
| Mac OS X 10.9 (Mavericks) | curatedOvarianData_1.3.5.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!
Contact us: support.bioconductor.org
Hosting provided by Fred Hutchinson Cancer Research Center
Copyright © 2003 - 2015, Bioconductor
