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

CGHnormaliter_1.61.0.tar.gz
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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'))

Peer review:

Datasets:
  • Leukemia - Array CGH experiment data on childhood acute lymphoblastic leukemia (ALL) in humans

On BioConductor:CGHnormaliter-1.59.0(bioc 3.20)CGHnormaliter-1.58.0(bioc 3.19)

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

microarraypreprocessing

3.30 score 1 scripts 260 downloads 2 exports 11 dependencies

Last updated 21 days agofrom:bb90e820ca. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
R-4.4-macNOTEOct 30 2024
R-4.3-winNOTEOct 30 2024
R-4.3-macNOTEOct 30 2024

Exports:CGHnormaliterCGHnormaliter.write.table

Dependencies:BiobaseBiocGenericsCGHbaseCGHcallDNAcopyimputelimmamarraysnowsnowfallstatmod

CGHnormaliter

Rendered fromCGHnormaliter.Rnwusingutils::Sweaveon Oct 30 2024.

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