Package: ABarray 1.75.0
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:
ABarray_1.75.0.tar.gz
ABarray_1.75.0.zip(r-4.5)ABarray_1.75.0.zip(r-4.4)ABarray_1.75.0.zip(r-4.3)
ABarray_1.75.0.tgz(r-4.4-any)ABarray_1.75.0.tgz(r-4.3-any)
ABarray_1.75.0.tar.gz(r-4.5-noble)ABarray_1.75.0.tar.gz(r-4.4-noble)
ABarray_1.75.0.tgz(r-4.4-emscripten)ABarray_1.75.0.tgz(r-4.3-emscripten)
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')) |
On BioConductor:ABarray-1.75.0(bioc 3.21)ABarray-1.74.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarrayonechannelpreprocessing
Last updated 3 months agofrom:efb1f10741. Checks:1 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Dec 29 2024 |
| R-4.5-win | NOTE | Dec 29 2024 |
| R-4.5-linux | NOTE | Dec 29 2024 |
| R-4.4-win | NOTE | Dec 29 2024 |
| R-4.4-mac | NOTE | Dec 29 2024 |
| R-4.3-win | NOTE | Dec 29 2024 |
| R-4.3-mac | NOTE | Dec 29 2024 |
Exports:ABarrayABarrayGUIcalcsnconcordcvvcvvPlotdoANOVAdoLPEdoPlotEsetdoPlotFCTdoVennDiagramdrawVennDiagramgetMemberEsetgetPantherMaphclusterPloticpPlotimputeFlaglpe.fdr.BHmamaplotmatrixPlotmvaPair2panel.corpanel.scatterqnNormalizergcolorsfuncsavejpgscaleColorBarsnSummary
Dependencies:BiobaseBiocGenericsgenericslatticeMASSMatrixmulttestsurvival
