# -------------------------------------------- # 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: 1.66.0 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-release.r-universe.dev commit: b5e94949e8f2aecc09be209fb31f3a6dfc9ab34a date-released: '2009-10-13' contact: - family-names: Cavalli given-names: Florence email: florence@ebi.ac.uk