Package: EBarrays 2.77.0
Ming Yuan
EBarrays: Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
EBarrays provides tools for the analysis of replicated/unreplicated microarray data.
Authors:
EBarrays_2.77.0.tar.gz
EBarrays_2.77.0.zip(r-4.7)EBarrays_2.77.0.zip(r-4.6)EBarrays_2.77.0.zip(r-4.5)
EBarrays_2.77.0.tgz(r-4.6-x86_64)EBarrays_2.77.0.tgz(r-4.6-arm64)EBarrays_2.77.0.tgz(r-4.5-x86_64)EBarrays_2.77.0.tgz(r-4.5-arm64)
EBarrays_2.77.0.tar.gz(r-4.7-arm64)EBarrays_2.77.0.tar.gz(r-4.7-x86_64)EBarrays_2.77.0.tar.gz(r-4.6-arm64)EBarrays_2.77.0.tar.gz(r-4.6-x86_64)
EBarrays_2.77.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EBarrays/json (API)
| # Install 'EBarrays' in R: |
| install.packages('EBarrays', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- gould - A dataset of class matrix
On BioConductor:EBarrays-2.77.0(bioc 3.24)EBarrays-2.76.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
clusteringdifferentialexpression
Last updated from:77991c1635. Checks:1 ERROR, 11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 136 | ||
| linux-devel-arm64 | NOTE | 152 | ||
| linux-devel-x86_64 | NOTE | 139 | ||
| source / vignettes | OK | 184 | ||
| linux-release-arm64 | NOTE | 151 | ||
| linux-release-x86_64 | NOTE | 141 | ||
| macos-release-arm64 | NOTE | 103 | ||
| macos-release-x86_64 | NOTE | 162 | ||
| macos-oldrel-arm64 | NOTE | 91 | ||
| macos-oldrel-x86_64 | NOTE | 235 | ||
| windows-devel | NOTE | 134 | ||
| windows-release | NOTE | 110 | ||
| windows-oldrel | NOTE | 100 | ||
| wasm-release | OK | 101 |
Exports:checkCCVcheckModelcheckVarsMarcheckVarsQQcrit.funeb.createFamilyGGeb.createFamilyLNNeb.createFamilyLNNMVebPatternsemfitemfit0emfit1emfit2emfit3emfitmvplot.ebarraysEMfitplotClusterplotMarginalpostprob
Dependencies:BiobaseBiocGenericsclustergenericslattice
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Find posterior probability threshold to control FDR | crit.fun |
| Class of Families to be used in the EBarrays package | coerce,character,ebarraysFamily-method eb.createFamilyGG eb.createFamilyLNN eb.createFamilyLNNMV ebarraysFamily-class show,ebarraysFamily-method |
| Various plotting routines in the EBarrays package | checkCCV checkModel checkVarsMar checkVarsQQ ebplots plot.ebarraysEMfit plotCluster plotMarginal |
| Implements EM algorithm for gene expression mixture model | ebarraysEMfit-class emfit emfit,ExpressionSet,character,ebarraysPatterns-method emfit,ExpressionSet,ebarraysFamily,ebarraysPatterns-method emfit,matrix,character,ebarraysPatterns-method emfit,matrix,ebarraysFamily,ebarraysPatterns-method show,ebarraysEMfit-method |
| A dataset of class matrix | gould |
| Calculates posterior probabilities for expression patterns | ebarraysPostProb-class postprob postprob,ebarraysEMfit,ExpressionSet-method postprob,ebarraysEMfit,matrix-method show,ebarraysPostProb-method |
| Utility functions for the EBarrays package | ebarraysPatterns-class ebPatterns show,ebarraysPatterns-method utilities |