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"einprot: flexible, easy-to-use, reproducible workflows for statistical ..."

Charlotte Soneson et al. (2023)

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DOI: 10.21105/JOSS.05750

access: open

type: Journal Article

metadata version: 2023-10-14

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  - https://dblp.org/rec/journals/jossw/SonesonIHSS23
Charlotte Soneson, Vytautas Iesmantavicius, Daniel Hess, Michael B. Stadler, Jan Seebacher:
einprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics data. J. Open Source Softw. 8(90): 5750 (2023)

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