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-1.61.0(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 286 downloads 7 mentions 2 exports 12 dependencies

Last updated 3 months agofrom:bb90e820ca. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 29 2024
R-4.5-winNOTEDec 29 2024
R-4.5-linuxNOTEDec 29 2024
R-4.4-winNOTEDec 29 2024
R-4.4-macNOTEDec 29 2024
R-4.3-winNOTEDec 29 2024
R-4.3-macNOTEDec 29 2024

Exports:CGHnormaliterCGHnormaliter.write.table

Dependencies:BiobaseBiocGenericsCGHbaseCGHcallDNAcopygenericsimputelimmamarraysnowsnowfallstatmod

CGHnormaliter

Rendered fromCGHnormaliter.Rnwusingutils::Sweaveon Dec 29 2024.

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