Package: eCV 0.0.1

Agustin Gonzalez-Reymundez

eCV: Enhanced Coefficient of Variation and IDR Extensions for Reproducibility Assessment

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) <doi:10.1101/2023.12.18.572208>.

Authors:Agustin Gonzalez-Reymundez [aut, cre]

eCV_0.0.1.tar.gz
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eCV.pdf |eCV.html✨
eCV/json (API)
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Bug tracker:https://github.com/eclipsebio/ecv/issues

On CRAN:

5 exports 4 stars 1.40 score 9 dependencies 11 scripts 186 downloads

Last updated 8 months agofrom:8617789390. Checks:OK: 7. Indexed: yes.

Exports:eCVgIDRmIDRmrep_assessmentsimulate_data

Dependencies:codetoolsdigestfuturefuture.applyglobalsidrlistenvmvtnormparallelly