Soneson C, Iesmantavicius V, Hess D, Stadler MB, Seebacher J (2023). “einprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics data.” Journal of Open Source Software, 8, 5750. doi:10.21105/joss.05750.
@Article{,
title = {einprot: flexible, easy-to-use, reproducible workflows for
statistical analysis of quantitative proteomics data},
author = {Charlotte Soneson and Vytautas Iesmantavicius and Daniel Hess and Michael B Stadler and Jan Seebacher},
journal = {Journal of Open Source Software},
year = {2023},
volume = {8},
issue = {89},
pages = {5750},
doi = {10.21105/joss.05750},
}