# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "eCV" in publications use:' type: software license: GPL-3.0-or-later title: 'eCV: Enhanced Coefficient of Variation and IDR Extensions for Reproducibility Assessment' version: 0.0.2 doi: 10.32614/CRAN.package.eCV abstract: Reproducibility assessment is essential in extracting reliable scientific insights from high-throughput experiments. While the Irreproducibility Discovery Rate (IDR) method has been instrumental in assessing reproducibility, its standard implementation is constrained to handling only two replicates. Package 'eCV' introduces an enhanced Coefficient of Variation (eCV) metric to assess the likelihood of omic features being reproducible. Additionally, it offers alternatives to the Irreproducible Discovery Rate (IDR) calculations for multi-replicate experiments. These tools are valuable for analyzing high-throughput data in genomics and other omics fields. The methods implemented in 'eCV' are described in Gonzalez-Reymundez et al., (2023) . authors: - family-names: Gonzalez-Reymundez given-names: Agustin email: agustin.gonrey@eclipsebio.com repository: https://agugonrey.r-universe.dev repository-code: https://github.com/eclipsebio/eCV commit: ca23528a35cc25c9113d9af30cd8e1381e815c80 url: https://github.com/eclipsebio/eCV date-released: '2024-01-19' contact: - family-names: Gonzalez-Reymundez given-names: Agustin email: agustin.gonrey@eclipsebio.com