adverSCarial

This is the development version of adverSCarial; for the stable release version, see adverSCarial.

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


Bioconductor version: Development (3.21)

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.

Author: Ghislain FIEVET [aut, cre] (ORCID: ), Sébastien HERGALANT [aut] (ORCID: )

Maintainer: Ghislain FIEVET <ghislain.fievet at gmail.com>

Citation (from within R, enter citation("adverSCarial")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("adverSCarial")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("adverSCarial")
Vign01_adverSCarial HTML R Script
Vign02_overView_analysis HTML R Script
Vign03_adapt_classifiers HTML
Vign04_advRandWalkMinChange HTML
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, SingleCell, Software, Transcriptomics
Version 1.5.0
In Bioconductor since BioC 3.18 (R-4.3) (1 year)
License MIT + file LICENSE
Depends R (>= 3.5.0)
Imports gtools, S4Vectors, methods, DelayedArray
System Requirements
URL
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Suggests knitr, RUnit, BiocGenerics, TENxPBMCData, CHETAH, stringr, LoomExperiment
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package adverSCarial_1.5.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/adverSCarial
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/adverSCarial
Bioc Package Browser https://code.bioconductor.org/browse/adverSCarial/
Package Short Url https://bioconductor.org/packages/adverSCarial/
Package Downloads Report Download Stats