Package: CGHnormaliter 1.61.0

Bart P.P. van Houte

CGHnormaliter: Normalization of array CGH data with imbalanced aberrations.

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).

Authors:Bart P.P. van Houte, Thomas W. Binsl, Hannes Hettling

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CGHnormaliter.pdf |CGHnormaliter.html
CGHnormaliter/json (API)

# Install 'CGHnormaliter' in R:
install.packages('CGHnormaliter', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Leukemia - Array CGH experiment data on childhood acute lymphoblastic leukemia (ALL) in humans

On BioConductor:CGHnormaliter-1.61.0(bioc 3.21)CGHnormaliter-1.60.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarraypreprocessing

4.15 score 1 scripts 323 downloads 7 mentions 2 exports 12 dependencies

Last updated 4 months agofrom:bb90e820ca. Checks:1 OK, 7 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 28 2025
R-4.5-winNOTEJan 28 2025
R-4.5-macNOTEJan 28 2025
R-4.5-linuxNOTEJan 28 2025
R-4.4-winNOTEJan 28 2025
R-4.4-macNOTEJan 28 2025
R-4.3-winNOTEJan 28 2025
R-4.3-macNOTEJan 28 2025

Exports:CGHnormaliterCGHnormaliter.write.table

Dependencies:BiobaseBiocGenericsCGHbaseCGHcallDNAcopygenericsimputelimmamarraysnowsnowfallstatmod

CGHnormaliter

Rendered fromCGHnormaliter.Rnwusingutils::Sweaveon Jan 28 2025.

Last update: 2013-11-01
Started: 2013-11-01