Package: SpeCond 1.61.0
Florence Cavalli
SpeCond: Condition specific detection from expression data
This package performs a gene expression data analysis to detect condition-specific genes. Such genes are significantly up- or down-regulated in a small number of conditions. It does so by fitting a mixture of normal distributions to the expression values. Conditions can be environmental conditions, different tissues, organs or any other sources that you wish to compare in terms of gene expression.
Authors:
SpeCond_1.61.0.tar.gz
SpeCond_1.61.0.zip(r-4.5)SpeCond_1.61.0.zip(r-4.4)SpeCond_1.61.0.zip(r-4.3)
SpeCond_1.61.0.tgz(r-4.5-any)SpeCond_1.61.0.tgz(r-4.4-any)SpeCond_1.61.0.tgz(r-4.3-any)
SpeCond_1.61.0.tar.gz(r-4.5-noble)SpeCond_1.61.0.tar.gz(r-4.4-noble)
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SpeCond.pdf |SpeCond.html✨
SpeCond/json (API)
| # Install 'SpeCond' in R: |
| install.packages('SpeCond', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- expSetSpeCondExample - An ExpressionSet example object used in the SpeCond package
- expressionSpeCondExample - The expression matrix example used in the SpeCond package
- simulatedSpeCondData - An example of simulated expression matrix used in the SpeCond package
On BioConductor:SpeCond-1.61.0(bioc 3.21)SpeCond-1.60.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraydifferentialexpressionmultiplecomparisonclusteringreportwriting
Last updated 4 months agofrom:84f04f80e3. Checks:1 OK, 7 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 17 2025 |
| R-4.5-win | NOTE | Feb 17 2025 |
| R-4.5-mac | NOTE | Feb 17 2025 |
| R-4.5-linux | NOTE | Feb 17 2025 |
| R-4.4-win | NOTE | Feb 17 2025 |
| R-4.4-mac | NOTE | Feb 17 2025 |
| R-4.3-win | NOTE | Feb 17 2025 |
| R-4.3-mac | NOTE | Feb 17 2025 |
Exports:createParameterMatrixfitNoPriorWithExclusionfitPriorgetDefaultParametergetFullHtmlSpeCondResultgetGeneHtmlPagegetMatrixFromExpressionSetgetProfilegetSpecificOutliersStep1getSpecificResultSpeCondwriteGeneResultwriteSpeCondResultwriteUniqueProfileSpecificResult
Dependencies:BiobaseBiocGenericsdotCall64fieldsgenericshwritermapsmclustRColorBrewerRcppspamviridisLite
