# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SpeCond" in publications use:' type: software title: 'SpeCond: Condition specific detection from expression data' version: 1.59.0 doi: 10.32614/CRAN.package.SpeCond abstract: 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: - family-names: Cavalli given-names: Florence email: florence@ebi.ac.uk repository: https://bioc.r-universe.dev commit: 0224a84e5c5a87cbb047b83d8140c2bdd4a3b93f date-released: '2009-10-13' contact: - family-names: Cavalli given-names: Florence email: florence@ebi.ac.uk