recipe bioconductor-proda

Differential Abundance Analysis of Label-Free Mass Spectrometry Data

Homepage:

https://bioconductor.org/packages/3.16/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:

1.12.0-01.8.0-01.6.0-01.4.0-11.4.0-01.2.0-01.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see 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>)

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