SSPA
Sample Size and Power Analysis for Microarray Data
Bioconductor version: 2.6
Sample size and power analysis for microarray data, where two groups are analysed.
Author: Maarten van Iterson
Maintainer: Maarten van Iterson <M.van_iterson.HG at lumc.nl>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SSPA")
To cite this package in a publication, start R and enter:
citation("SSPA")
Documentation
| R Script | SSPA vignette | |
| Reference Manual |
Details
| biocViews | Microarray, Statistics |
| Depends | R (>= 2.8), methods, qvalue |
| Imports | graphics, limma, methods, stats |
| Suggests | multtest, quadprog, splines |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://www.humgen.nl/MicroarrayAnalysisGroup.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.4.0 |
| Since | Bioconductor 2.4 (R-2.9) |
Package Downloads
| Package Source | SSPA_1.4.0.tar.gz |
| Windows Binary | SSPA_1.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | SSPA_1.4.0.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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