- recipe bioconductor-paa
PAA (Protein Array Analyzer)
- Homepage
- License
BSD_3_clause + file LICENSE
- Recipe
PAA imports single color (protein) microarray data that has been saved in gpr file format - esp. ProtoArray data. After preprocessing (background correction, batch filtering, normalization) univariate feature preselection is performed (e.g., using the "minimum M statistic" approach - hereinafter referred to as "mMs"). Subsequently, a multivariate feature selection is conducted to discover biomarker candidates. Therefore, either a frequency-based backwards elimination aproach or ensemble feature selection can be used. PAA provides a complete toolbox of analysis tools including several different plots for results examination and evaluation.
- package bioconductor-paa¶
-
- Versions
1.28.0-1
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.24.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.16.0-0
- Depends
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-sva
>=3.42.0,<3.43.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
r-rcpp
>=0.11.6
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-paa
and update with:
conda update bioconductor-paa
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-paa:<tag>
(see bioconductor-paa/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-paa/README.html)