Bioconductor version: Release (3.15)
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CGHnormaliter")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CGHnormaliter")
R Script | CGHnormaliter | |
Reference Manual |
biocViews | Microarray, Preprocessing, Software |
Version | 1.50.0 |
In Bioconductor since | BioC 2.5 (R-2.10) (13 years) |
License | GPL (>= 3) |
Depends | CGHcall(>= 2.17.0), CGHbase(>= 1.15.0) |
Imports | Biobase, CGHbase, CGHcall, methods, stats, utils |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | CGHnormaliter_1.50.0.tar.gz |
Windows Binary | CGHnormaliter_1.50.0.zip |
macOS Binary (x86_64) | CGHnormaliter_1.50.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/CGHnormaliter |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CGHnormaliter |
Package Short Url | https://bioconductor.org/packages/CGHnormaliter/ |
Package Downloads Report | Download Stats |
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