Package: daMA 1.85.0

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:Jobst Landgrebe <[email protected]> and Frank Bretz <[email protected]>

daMA_1.85.0.tar.gz
daMA_1.85.0.zip(r-4.7)daMA_1.85.0.zip(r-4.6)daMA_1.85.0.zip(r-4.5)
daMA_1.85.0.tgz(r-4.6-any)daMA_1.85.0.tgz(r-4.5-any)
daMA_1.85.0.tar.gz(r-4.7-any)daMA_1.85.0.tar.gz(r-4.6-any)
daMA_1.85.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
daMA/json (API)

# Install 'daMA' in R:

install.packages('daMA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

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-1.85.0(bioc 3.24)daMA-1.84.0(bioc 3.23)

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

microarray twochannel differentialexpression

2.30 score 559 downloads 9 exports 1 dependencies

Last updated from:cefe1463c4. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
bioc-checks	ERROR	134
linux-devel-x86_64	NOTE	164
source / vignettes	OK	154
linux-release-x86_64	NOTE	149
macos-release-arm64	NOTE	75
macos-oldrel-arm64	NOTE	80
windows-devel	NOTE	68
windows-release	NOTE	68
windows-oldrel	NOTE	72
wasm-release	OK	85

Exports:analyseMA cinfo cinfoB.AB cmat cmatB.AB core designMA designs.basic designs.composite

Dependencies:MASS

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
ANALYSIS OF FACTORIAL MICROARRAY EXPERIMENTS	analyseMA
Vector indexing the matrix cmat	cinfo
Vector indexing the matrix cmatB.AB	cinfoB.AB
Contrast matrix describing the experimental questions	cmat
Contrast matrix describing the experimental questions	cmatB.AB
Internal function of analyseMA	core
3x2 microarray data	data.3x2
DESIGN OF FACTORIAL MICROARRAY EXPERIMENTS	designMA
Basic designs for two-colour factorial 3 x 2 microarray data	designs.basic
Composite designs for two-colour factorial 3 x 2 microarray data	designs.composite
A vector of length 30012 containing numeric identifiers of the genes from the microarray dataset data.3x2.	id.3x2