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Published September 11, 2019 | Version v1.3
Software Open

Source Code for Zitovsky and Love 2019

  • 1. University of North Carolina at Chapel Hill

Description

This repository contains underlying data associated with Zitovsky and Love 2019. If any material from this repository is used to conduct original research leading to published work. please cite the Zitovsky and Love 2019 paper enstead of this repository. All files from this repository are present in a .zip file and are divided into two subfolders: Code and Figures. The Code folder contains the R scripts used to run the analyses described in Zitovsky and Love 2019 and generate all of its figures. The Figures folder contains .png and .eps files of all figures associated with Zitovsky and Love 2019, including figures present in the main article and supplementary figures. All files in this repository are available under the terms of the GNU General Public License v3.0 (GPL-3).

Files

jzitovsky/Analysis-Code-for-Zitovsky-and-Love-2019-v1.3.zip

Files (5.3 MB)

Additional details

Related works

Is supplement to
https://doi.org/DOESNOTEXISTYET (URL)

References

  • Joshua P. Zitovsky and Michael I. Love. Fast Effect Size Shrinkage Software for Beta-Binomial Models of Allelic Imbalance. F1000Research. September 2019.