To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CGHnormaliter")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Normalization and centralization of array comparative genomic hybridization (aCGH) data. The algorithm uses an iterative procedure that effectively eliminates the influence of imbalanced copy numbers. This leads to a more reliable assessment of copy number alterations (CNAs).
Author: Bart P.P. van Houte, Thomas W. Binsl, Hannes Hettling
Maintainer: Bart P.P. van Houte <bvhoute at few.vu.nl>
Citation (from within R,
      enter citation("CGHnormaliter")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CGHnormaliter")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CGHnormaliter")
    
| R Script | CGHnormaliter | |
| CGHnormaliter-method.pdf | ||
| Reference Manual | 
| biocViews | Microarray, Preprocessing, Software | 
| Version | 1.16.0 | 
| In Bioconductor since | BioC 2.5 (R-2.10) | 
| License | GPL (>= 3) | 
| Depends | CGHcall(>= 2.17.0), CGHbase(>= 1.15.0) | 
| Imports | Biobase, CGHbase, CGHcall, methods, stats, utils | 
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | CGHnormaliter_1.16.0.tar.gz | 
| Windows Binary | CGHnormaliter_1.16.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | CGHnormaliter_1.16.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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