prolfqua – an R package for proteomics label-free quantification

Witold Eryk Wolski; Christian Panse; Jonas Grossmann; Maria  D'Errico; Paolo Nanni

doi:10.7490/f1000research.1118455.1

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Wolski WE, Panse C, Grossmann J et al. prolfqua – an R package for proteomics label-free quantification [version 1; not peer reviewed]. F1000Research 2020, 9:1476 (slides) (https://doi.org/10.7490/f1000research.1118455.1)

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prolfqua – an R package for proteomics label-free quantification

Witold Eryk Wolski¹, Christian Panse, Jonas Grossmann, Maria D'Errico, Paolo Nanni

Published 17 Dec 2020 (https://doi.org/10.7490/f1000research.1118455.1)

Author Affiliations

¹ Functional Genomics Center Zurich, Switzerland

Copyright © 2020 Wolski WE et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 17 Dec 2020

prolfqua – an R package for proteomics label-free quantification
[version 1; not peer reviewed]

Witold Eryk Wolski¹, Christian Panse, Jonas Grossmann, Maria D'Errico, Paolo Nanni

Author Affiliations

¹ Functional Genomics Center Zurich, Switzerland

Presented at

European Bioconductor Meeting 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

linear models, label free quantification, mass spectrometry, R, Bioconductor, proteomics, hypothesis testing

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prolfqua – an R package for proteomics label-free quantification

prolfqua – an R package for proteomics label-free quantification [version 1; not peer reviewed]

Terms relating to user comments

prolfqua – an R package for proteomics label-free quantification
[version 1; not peer reviewed]