Package: SpeCond 1.59.0
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.
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SpeCond_1.59.0.tar.gz
SpeCond_1.59.0.zip(r-4.5)SpeCond_1.59.0.zip(r-4.4)SpeCond_1.59.0.zip(r-4.3)
SpeCond_1.59.0.tgz(r-4.4-any)SpeCond_1.59.0.tgz(r-4.3-any)
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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-1.59.0(bioc 3.20)SpeCond-1.58.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:0224a84e5c
Exports:createParameterMatrixfitNoPriorWithExclusionfitPriorgetDefaultParametergetFullHtmlSpeCondResultgetGeneHtmlPagegetMatrixFromExpressionSetgetProfilegetSpecificOutliersStep1getSpecificResultSpeCondwriteGeneResultwriteSpeCondResultwriteUniqueProfileSpecificResult
Dependencies:BiobaseBiocGenericsdotCall64fieldshwritermapsmclustRColorBrewerRcppspamviridisLite