Package: EBarrays 2.71.0
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_2.71.0.tar.gz
EBarrays_2.71.0.zip(r-4.5)EBarrays_2.71.0.zip(r-4.4)EBarrays_2.71.0.zip(r-4.3)
EBarrays_2.71.0.tgz(r-4.4-x86_64)EBarrays_2.71.0.tgz(r-4.4-arm64)EBarrays_2.71.0.tgz(r-4.3-x86_64)EBarrays_2.71.0.tgz(r-4.3-arm64)
EBarrays_2.71.0.tar.gz(r-4.5-noble)EBarrays_2.71.0.tar.gz(r-4.4-noble)
EBarrays_2.71.0.tgz(r-4.4-emscripten)EBarrays_2.71.0.tgz(r-4.3-emscripten)
EBarrays.pdf |EBarrays.html✨
EBarrays/json (API)
# Install 'EBarrays' in R: |
install.packages('EBarrays', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- gould - A dataset of class matrix
On BioConductor:EBarrays-2.71.0(bioc 3.21)EBarrays-2.70.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
clusteringdifferentialexpression
Last updated 2 months agofrom:3c3b71c8b2. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 29 2024 |
R-4.5-win-x86_64 | NOTE | Nov 29 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 29 2024 |
R-4.4-win-x86_64 | NOTE | Nov 29 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 29 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 29 2024 |
R-4.3-win-x86_64 | NOTE | Nov 29 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 29 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 29 2024 |
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 |