recipe bioconductor-adverscarial

adverSCarial, generate and analyze the vulnerability of scRNA-seq classifiers to adversarial attacks






adverSCarial is an R Package designed for generating and analyzing the vulnerability of scRNA-seq classifiers to adversarial attacks. The package is versatile and provides a format for integrating any type of classifier. It offers functions for studying and generating two types of attacks, single gene attack and max change attack. The single gene attack involves making a small modification to the input to alter the classification. The max change attack involves making a large modification to the input without changing its classification. The package provides a comprehensive solution for evaluating the robustness of scRNA-seq classifiers against adversarial attacks.

package bioconductor-adverscarial

(downloads) docker_bioconductor-adverscarial



depends bioconductor-delayedarray:


depends bioconductor-s4vectors:


depends r-base:


depends r-gtools:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-adverscarial

and update with::

   mamba update bioconductor-adverscarial

To create a new environment, run:

mamba create --name myenvname bioconductor-adverscarial

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-adverscarial/tags`_ for valid values for ``<tag>``)

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