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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PROMISE")
In most cases, you don't need to download the package archive at all.
PROMISE
PRojection Onto the Most Interesting Statistical Evidence
Bioconductor version: 2.14
A general tool to identify genomic features with a specific biologically interesting pattern of associations with multiple endpoint variables as described in Pounds et. al. (2009) Bioinformatics 25: 2013-2019
Author: Stan Pounds <stanley.pounds at stjude.org>, Xueyuan Cao <xueyuan.cao at stjude.org>
Maintainer: Stan Pounds <stanley.pounds at stjude.org>, Xueyuan Cao <xueyuan.cao at stjude.org>
Citation (from within R,
enter citation("PROMISE")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PROMISE")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PROMISE")
| R Script | An introduction to PROMISE | |
| Reference Manual |
Details
| biocViews | GeneExpression, Microarray, MultipleComparison, OneChannel, Software |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.6 (R-2.11) |
| License | GPL (>= 2) |
| Depends | R (>= 2.11.0), Biobase, GSEABase |
| Imports | Biobase, GSEABase, stats |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | PROMISE_1.16.0.tar.gz |
| Windows Binary | PROMISE_1.16.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | PROMISE_1.16.0.tgz |
| Mac OS X 10.9 (Mavericks) | PROMISE_1.16.0.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
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