To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("nudge")
In most cases, you don't need to download the package archive at all.
nudge
Normal Uniform Differential Gene Expression detection
Bioconductor version: 3.0
Package for normalizing microarray data in single and multiple replicate experiments and fitting a normal-uniform mixture to detect differentially expressed genes in the cases where the two samples are being compared directly or indirectly (via a common reference sample)
Author: N. Dean <nemad at stat.washington.edu> and A. E. Raftery <raftery at stat.washington.edu>
Maintainer: N. Dean <nemad at stat.washington.edu>
Citation (from within R,
enter citation("nudge")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("nudge")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("nudge")
| R Script | nudge Overview | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, Microarray, Software, TwoChannel |
| Version | 1.32.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) |
| License | GPL-2 |
| Depends | |
| Imports | stats |
| 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 | nudge_1.32.0.tar.gz |
| Windows Binary | nudge_1.32.0.zip |
| Mac OS X 10.6 (Snow Leopard) | nudge_1.32.0.tgz |
| Mac OS X 10.9 (Mavericks) | nudge_1.32.0.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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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