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Evaluation of Bioinformatics Metrics

Bioconductor version: Release (3.19)

Evaluating the reliability of your own metrics and the measurements done on your own datasets by analysing the stability and goodness of the classifications of such metrics.

Author: José Antonio Bernabé-Díaz [aut, cre], Manuel Franco [aut], Juana-María Vivo [aut], Manuel Quesada-Martínez [aut], Astrid Duque-Ramos [aut], Jesualdo Tomás Fernández-Breis [aut]

Maintainer: José Antonio Bernabé-Díaz <joseantonio.bernabe1 at>

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


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:

Evaluation of Bioinformatics Metrics with evaluomeR HTML R Script
Reference Manual PDF


biocViews Classification, Clustering, FeatureExtraction, Software
Version 1.20.5
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License GPL-3
Depends R (>= 3.6), SummarizedExperiment, MultiAssayExperiment, cluster (>= 2.0.9), fpc (>= 2.2-3), randomForest (>= 4.6.14), flexmix (>= 2.3.15), RSKC (>= 2.4.2), sparcl (>= 1.0.4)
Imports corrplot (>= 0.84), grDevices, graphics, reshape2, ggplot2, ggdendro, plotrix, stats, matrixStats, Rdpack, MASS, class, prabclus, mclust, kableExtra, dplyr, dendextend (>= 1.16.0)
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Follow Installation instructions to use this package in your R session.

Source Package evaluomeR_1.20.5.tar.gz
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macOS Binary (x86_64) evaluomeR_1.20.5.tgz
macOS Binary (arm64) evaluomeR_1.20.5.tgz
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