Package: factDesign 1.89.0
Denise Scholtens
factDesign: Factorial designed microarray experiment analysis
This package provides a set of tools for analyzing data from a factorial designed microarray experiment, or any microarray experiment for which a linear model is appropriate. The functions can be used to evaluate tests of contrast of biological interest and perform single outlier detection.
Authors:
factDesign_1.89.0.tar.gz
factDesign_1.89.0.zip(r-4.7-any)factDesign_1.89.0.zip(r-4.6-any)factDesign_1.89.0.zip(r-4.5-any)
factDesign_1.89.0.tgz(r-4.6-any)factDesign_1.89.0.tgz(r-4.5-any)
factDesign_1.89.0.tar.gz(r-4.7-any)factDesign_1.89.0.tar.gz(r-4.6-any)
factDesign_1.89.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
factDesign/json (API)
| # Install 'factDesign' in R: |
| install.packages('factDesign', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- estrogen - Microarray Data from an Experiment on Breast Cancer Cells
On BioConductor:factDesign-1.89.0(bioc 3.24)factDesign-1.88.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraydifferentialexpression
Last updated from:a4d3c25cb9. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 171 | ||
| linux-devel | NOTE | 163 | ||
| source / vignettes | OK | 274 | ||
| linux-release | NOTE | 255 | ||
| macos-release | NOTE | 113 | ||
| macos-oldrel | NOTE | 112 | ||
| windows-devel | NOTE | 82 | ||
| windows-release | NOTE | 72 | ||
| windows-oldrel | NOTE | 56 | ||
| wasm-release | OK | 91 |
Exports:contrastTestfindFCkRepsOverAmadOutPairoutlierPairpar2lambda
Dependencies:BiobaseBiocGenericsgenerics
