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:Florence Cavalli

SpeCond_1.61.0.tar.gz
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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)
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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'))
Datasets:

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

3.89 score 13 scripts 304 downloads 3 mentions 14 exports 12 dependencies

Last updated 5 months agofrom:84f04f80e3. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winNOTEMar 19 2025
R-4.5-macNOTEMar 19 2025
R-4.5-linuxNOTEMar 19 2025
R-4.4-winNOTEMar 19 2025
R-4.4-macNOTEMar 19 2025
R-4.4-linuxNOTEMar 19 2025
R-4.3-winNOTEMar 19 2025
R-4.3-macNOTEMar 19 2025

Exports:createParameterMatrixfitNoPriorWithExclusionfitPriorgetDefaultParametergetFullHtmlSpeCondResultgetGeneHtmlPagegetMatrixFromExpressionSetgetProfilegetSpecificOutliersStep1getSpecificResultSpeCondwriteGeneResultwriteSpeCondResultwriteUniqueProfileSpecificResult

Dependencies:BiobaseBiocGenericsdotCall64fieldsgenericshwritermapsmclustRColorBrewerRcppspamviridisLite

SpeCond

Rendered fromSpeCond.Rnwusingutils::Sweaveon Mar 19 2025.

Last update: 2013-11-01
Started: 2013-11-01