Package: discordant 1.37.0

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:
discordant_1.37.0.tar.gz
discordant_1.37.0.zip(r-4.7)discordant_1.37.0.zip(r-4.6)discordant_1.37.0.zip(r-4.5)
discordant_1.37.0.tgz(r-4.6-x86_64)discordant_1.37.0.tgz(r-4.6-arm64)discordant_1.37.0.tgz(r-4.5-x86_64)discordant_1.37.0.tgz(r-4.5-arm64)
discordant_1.37.0.tar.gz(r-4.7-arm64)discordant_1.37.0.tar.gz(r-4.7-x86_64)discordant_1.37.0.tar.gz(r-4.6-arm64)discordant_1.37.0.tar.gz(r-4.6-x86_64)
discordant_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
discordant/json (API)
NEWS
| # Install 'discordant' in R: |
| install.packages('discordant', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/siskac/discordant/issues
- 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)
immunooncologybiologicalquestionstatisticalmethodmrnamicroarraymicroarraygeneticsrnaseqcpp
Last updated from:1faa25bc89. Checks:1 NOTE, 13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 159 | ||
| linux-devel-arm64 | OK | 153 | ||
| linux-devel-x86_64 | OK | 206 | ||
| source / vignettes | OK | 221 | ||
| linux-release-arm64 | OK | 151 | ||
| linux-release-x86_64 | OK | 191 | ||
| macos-release-arm64 | OK | 151 | ||
| macos-release-x86_64 | OK | 179 | ||
| macos-oldrel-arm64 | OK | 89 | ||
| macos-oldrel-x86_64 | OK | 415 | ||
| windows-devel | OK | 127 | ||
| windows-release | OK | 131 | ||
| windows-oldrel | OK | 124 | ||
| wasm-release | OK | 105 |
Exports:createVectorsdiscordantRunfishersTranssplitMADOutlier
Dependencies:BiobaseBiocGenericsbiwtcliDEoptimRdplyrgenericsgluegtoolslifecyclemagrittrMASSpillarpkgconfigR6Rcpprlangrobustbasetibbletidyselectutf8vctrswithr
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 |