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mvoutData
affy and illumina raw data for assessing outlier detector performance
Bioconductor version: 2.7
affy and illumina raw data for assessing outlier detector performance
Author: VJ Carey <stvjc at channing.harvard.edu>
Maintainer: VJ Carey <stvjc at channing.harvard.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mvoutData")
To cite this package in a publication, start R and enter:
citation("mvoutData")
Documentation
| Reference Manual |
Details
| biocViews | ExperimentData |
| Depends | R (>= 2.6.0), methods, Biobase(>= 2.5.5), affy(>= 1.23.4), lumi |
| Imports | |
| Suggests | |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | arrayMvout |
| Version | 0.99.4 |
Package Downloads
| Package Source | mvoutData_0.99.4.tar.gz |
| Windows Binary | mvoutData_0.99.4.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | mvoutData_0.99.4.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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