proteoDA: a package for quantitative proteomics

R JavaScript Submitted 02 February 2023 • Published 30 May 2023
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Authors

Timothy J. Thurman (0000-0002-9602-6226), Charity L. Washam (0000-0001-5761-9304), Duah Alkam (0000-0002-5965-7694), Jordan T. Bird (0000-0001-5753-6058), Allen Gies (0000-0003-2492-0429), Kalyani Dhusia (0000-0002-8803-1295), Michael S. Robeson (0000-0001-7119-6301), Stephanie D. Byrum (0000-0002-1783-3610)

Citation

Thurman et al., (2023). proteoDA: a package for quantitative proteomics. Journal of Open Source Software, 8(85), 5184, https://doi.org/10.21105/joss.05184

@article{Thurman2023, doi = {10.21105/joss.05184}, url = {https://doi.org/10.21105/joss.05184}, year = {2023}, publisher = {The Open Journal}, volume = {8}, number = {85}, pages = {5184}, author = {Timothy J. Thurman and Charity L. Washam and Duah Alkam and Jordan T. Bird and Allen Gies and Kalyani Dhusia and Michael S. Robeson and Stephanie D. Byrum}, title = {proteoDA: a package for quantitative proteomics}, journal = {Journal of Open Source Software} }
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mass spectrometry intensity data normalization linear models

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ISSN 2475-9066