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) .

Enhanced Coefficient of Variation and IDR Extensions for Reproducibility Assessment

This package provides extensions and alternative methods to measure the reproducibility of omic data with an arbitrary number of replicates. It 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.

Preprint

Install from CRAN.

# Copy and paste in R session.
install.packages("eCV")

Install developer version.

# Copy and paste in R session.
if (require("remotes") == FALSE) install.packages("remotes")
install_github("eclipsebio/eCV")

Load package in your R session.

library("eCV")

Vignette.

utils::vignette("eCV_vignette")