Bioconductor version: Release (2.11)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("CGHnormaliter")
To cite this package in a publication, start R and enter:
citation("CGHnormaliter")
| R Script | CGHnormaliter | |
| CGHnormaliter-method.pdf | ||
| Reference Manual |
| biocViews | Microarray, Preprocessing, Software |
| Version | 1.12.0 |
| 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 |
| Package Source | CGHnormaliter_1.12.0.tar.gz |
| Windows Binary | CGHnormaliter_1.12.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | CGHnormaliter_1.12.0.tgz |
| Package Downloads Report | Download Stats |
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