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 334 downloads 7 mentions 2 exports 12 dependencies

Last updated 5 months agofrom:bb90e820ca. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025
R-4.5-winNOTEMar 29 2025
R-4.5-macNOTEMar 29 2025
R-4.5-linuxNOTEMar 29 2025
R-4.4-winNOTEMar 29 2025
R-4.4-macNOTEMar 29 2025
R-4.4-linuxNOTEMar 29 2025
R-4.3-winNOTEMar 29 2025
R-4.3-macNOTEMar 29 2025

Exports:CGHnormaliterCGHnormaliter.write.table

Dependencies:BiobaseBiocGenericsCGHbaseCGHcallDNAcopygenericsimputelimmamarraysnowsnowfallstatmod

CGHnormaliter

Rendered fromCGHnormaliter.Rnwusingutils::Sweaveon Mar 29 2025.

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