Package: ABarray 1.73.0

Yongming Andrew Sun

ABarray: Microarray QA and statistical data analysis for Applied Biosystems Genome Survey Microrarray (AB1700) gene expression data.

Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.

Authors:Yongming Andrew Sun

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ABarray.pdf |ABarray.html✨
ABarray/json (API)

# Install 'ABarray' in R:
install.packages('ABarray', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:ABarray-1.73.0(bioc 3.20)ABarray-1.72.0(bioc 3.19)

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

bioconductor-package

28 exports 1.64 score 7 dependencies 4 mentions

Last updated 2 months agofrom:4759ae1dcf

Exports:ABarrayABarrayGUIcalcsnconcordcvvcvvPlotdoANOVAdoLPEdoPlotEsetdoPlotFCTdoVennDiagramdrawVennDiagramgetMemberEsetgetPantherMaphclusterPloticpPlotimputeFlaglpe.fdr.BHmamaplotmatrixPlotmvaPair2panel.corpanel.scatterqnNormalizergcolorsfuncsavejpgscaleColorBarsnSummary

Dependencies:BiobaseBiocGenericslatticeMASSMatrixmulttestsurvival

ABarray gene expression

Rendered fromABarray.Rnwusingutils::Sweaveon Jul 03 2024.

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

ABarray gene expression GUI interface

Rendered fromABarrayGUI.Rnwusingutils::Sweaveon Jul 03 2024.

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