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XAItest

XAItest: Enhancing Feature Discovery with eXplainable AI

Bioconductor version: 3.23 · Package version: 1.4.0

XAItest is an R Package that identifies features using eXplainable AI (XAI) methods such as SHAP or LIME. This package allows users to compare these methods with traditional statistical tests like t-tests, empirical Bayes, and Fisher's test. Additionally, it includes simThresh, a system that enables the comparison of feature importance with p-values by incorporating calibrated simulated data.

Installation

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

BiocManager::install("XAItest")

Details

MaintainerGhislain FIEVET <ghislain.fievet@gmail.com>
AuthorGhislain FIEVET [aut, cre] (ORCID: <https://orcid.org/0000-0002-0337-7327>), Sébastien HERGALANT [aut] (ORCID: <https://orcid.org/0000-0001-8456-7992>)
LicenseMIT + file LICENSE
URLhttps://github.com/GhislainFievet/XAItest
Bug Reportshttps://github.com/GhislainFievet/XAItest/issues
Downloads rank146
Source branchRELEASE_3_23
biocViewsClassification, FeatureExtraction, Regression, Software, StatisticalMethod

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Dependencies

Depends: R (>= 3.5.0)

Imports: limma, randomForest, kernelshap, caret, lime, DT, methods, SummarizedExperiment, ggplot2

Suggests: knitr, ggforce, shapr (>= 1.0.1), airway, xgboost, BiocGenerics, RUnit, S4Vectors