pamr
Pam: prediction analysis for microarrays
Bioconductor version: 2.7
Some functions for sample classification in microarrays
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Maintainer: Rob Tibshirani <tibs at stat.stanford.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("pamr")
To cite this package in a publication, start R and enter:
citation("pamr")
Documentation
| Reference Manual |
Details
| biocViews | Classification, Microarray |
| Depends | cluster, survival |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL-2 |
| URL | |
| Depends On Me | |
| Imports Me | MCRestimate, Rmagpie |
| Suggests Me | MLInterfaces, oneChannelGUI |
| Version | 1.48.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
| Package Source | pamr_1.48.0.tar.gz |
| Windows Binary | pamr_1.48.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | pamr_1.48.0.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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