Package: daMA 1.79.0
Jobst Landgrebe
daMA: Efficient design and analysis of factorial two-colour microarray data
This package contains functions for the efficient design of factorial two-colour microarray experiments and for the statistical analysis of factorial microarray data. Statistical details are described in Bretz et al. (2003, submitted)
Authors:
daMA_1.79.0.tar.gz
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daMA.pdf |daMA.html✨
daMA/json (API)
| # Install 'daMA' in R: |
| install.packages('daMA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- cinfo - Vector indexing the matrix cmat
- cinfoB.AB - Vector indexing the matrix cmatB.AB
- cmat - Contrast matrix describing the experimental questions
- cmatB.AB - Contrast matrix describing the experimental questions
- data.3x2 - 3x2 microarray data
- designs.basic - Basic designs for two-colour factorial 3 x 2 microarray data
- designs.composite - Composite designs for two-colour factorial 3 x 2 microarray data
- id.3x2 - A vector of length 30012 containing numeric identifiers of the genes from the microarray dataset data.3x2.
On BioConductor:daMA-1.77.0(bioc 3.20)daMA-1.76.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraytwochanneldifferentialexpression
Last updated 23 days agofrom:d03098c9f6. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | NOTE | Oct 30 2024 |
| R-4.5-linux | NOTE | Oct 30 2024 |
| R-4.4-win | NOTE | Oct 30 2024 |
| R-4.4-mac | NOTE | Oct 30 2024 |
| R-4.3-win | NOTE | Oct 30 2024 |
| R-4.3-mac | NOTE | Oct 30 2024 |
Exports:analyseMAcinfocinfoB.ABcmatcmatB.ABcoredesignMAdesigns.basicdesigns.composite
Dependencies:MASS
