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Influential Points Detection for Feature Rankings

Bioconductor version: Release (3.19)

Feature rankings can be distorted by a single case in the context of high-dimensional data. The cases exerts abnormal influence on feature rankings are called influential points (IPs). The package aims at detecting IPs based on case deletion and quantifies their effects by measuring the rank changes (DOI:10.48550/arXiv.2303.10516). The package applies a novel rank comparing measure using the adaptive weights that stress the top-ranked important features and adjust the weights to ranking properties.

Author: Shuo Wang [aut, cre] , Junyan Lu [aut]

Maintainer: Shuo Wang <wangsures at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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


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

Introduction to package findIPs HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, Regression, Software, Survival
Version 1.0.0
In Bioconductor since BioC 3.19 (R-4.4) (< 6 months)
License GPL-3
Depends graphics, R (>= 4.4.0)
Imports Biobase, BiocParallel, parallel, stats, SummarizedExperiment, survival, utils
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Follow Installation instructions to use this package in your R session.

Source Package findIPs_1.0.0.tar.gz
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macOS Binary (x86_64) findIPs_1.0.0.tgz
macOS Binary (arm64) findIPs_1.0.0.tgz
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