recipe bioconductor-proda

Differential Abundance Analysis of Label-Free Mass Spectrometry Data

Homepage

https://bioconductor.org/packages/3.11/bioc/html/proDA.html

License

GPL-3

Recipe

/bioconductor-proda/meta.yaml

Account for missing values in label-free mass spectrometry data without imputation. The package implements a probabilistic dropout model that ensures that the information from observed and missing values are properly combined. It adds empirical Bayesian priors to increase power to detect differentially abundant proteins.

package bioconductor-proda

(downloads) docker_bioconductor-proda

Versions

1.2.0-01.0.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-proda

and update with:

conda update bioconductor-proda

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-proda:<tag>

(see bioconductor-proda/tags for valid values for <tag>)