Package: discordant 1.36.0

McGrath Max

discordant: The Discordant Method: A Novel Approach for Differential Correlation

Discordant is an R package that identifies pairs of features that correlate differently between phenotypic groups, with application to -omics data sets. Discordant uses a mixture model that “bins” molecular feature pairs based on their type of coexpression or coabbundance. Algorithm is explained further in "Differential Correlation for Sequencing Data"" (Siska et al. 2016).

Authors:Charlotte Siska [aut], McGrath Max [aut, cre], Katerina Kechris [aut, cph, ths]

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manual.pdf |manual.html✨
card.svg |card.png
discordant/json (API)
NEWS

# Install 'discordant' in R:

install.packages('discordant', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/siskac/discordant/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

TCGA_Breast_miRNASeq - Example breast miRNA-Seq count dataset.
TCGA_Breast_miRNASeq_voom - Example breast miRNA-Seq voom-transformed count dataset.
TCGA_Breast_RNASeq - TCGA Breast Cancer RNASeq Sample Dataset
TCGA_Breast_RNASeq_voom - TCGA Breast Cancer RNASeq Sample Dataset
TCGA_GBM_miRNA_microarray - TCGA Glioblastoma Multiforme miRNA Sample Dataset
TCGA_GBM_transcript_microarray - TCGA Glioblastoma Multiforme Transcript Sample Dataset

On BioConductor:discordant-1.37.0(bioc 3.24)discordant-1.36.0(bioc 3.23)

immunooncology biologicalquestion statisticalmethod mrnamicroarray microarray genetics rnaseq cpp

5.98 score 10 stars 12 scripts 424 downloads 4 exports 23 dependencies

Last updated from:a8a5b2ed54 (on RELEASE_3_23). Checks:1 NOTE, 13 OK. Indexed: no.

Target	Result	Time
bioc-checks	NOTE	184
linux-devel-arm64	OK	232
linux-devel-x86_64	OK	202
source / vignettes	OK	190
linux-release-arm64	OK	147
linux-release-x86_64	OK	258
macos-release-arm64	OK	119
macos-release-x86_64	OK	251
macos-oldrel-arm64	OK	107
macos-oldrel-x86_64	OK	226
windows-devel	OK	112
windows-release	OK	134
windows-oldrel	OK	116
wasm-release	OK	152

Exports:createVectors discordantRun fishersTrans splitMADOutlier

Dependencies:Biobase BiocGenerics biwt cli DEoptimR dplyr generics glue gtools lifecycle magrittr MASS pillar pkgconfig R6 Rcpp rlang robustbase tibble tidyselect utf8 vctrs withr

The discordant R Package: A Novel Approach to Differential Correlation

Charlotte Siska, Max McGrath, Katerina Kechris

Rendered fromUsing_discordant.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2021-10-15
Started: 2021-08-04

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create correlation coefficient vectors based on bivariate data	createVectors
discordant: A Novel Approach for Differential Correlation	discordant
Run Discordant Algorithm	discordantRun
Fisher Transformation of Pearson Correlation Coefficients to Z Scores	fishersTrans
Outliers using left and right MAD	splitMADOutlier
Example breast miRNA-Seq count dataset.	TCGA_Breast_miRNASeq
Example breast miRNA-Seq voom-transformed count dataset.	TCGA_Breast_miRNASeq_voom
TCGA Breast Cancer RNASeq Sample Dataset	TCGA_Breast_RNASeq
TCGA Breast Cancer RNASeq Sample Dataset	TCGA_Breast_RNASeq_voom
TCGA Glioblastoma Multiforme miRNA Sample Dataset	TCGA_GBM_miRNA_microarray
TCGA Glioblastoma Multiforme Transcript Sample Dataset	TCGA_GBM_transcript_microarray