<p>Statistical analysis of mass spectrometry generated peptidomics data</p>

Haowen Qiu; Md Shadman Ridwan Abid; Somayeh Mousavi; James W. Checco

doi:10.7490/f1000research.1119538.1

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Qiu H, Ridwan Abid MS, Mousavi S and Checco JW. Statistical analysis of mass spectrometry generated peptidomics data [version 1; not peer reviewed]. F1000Research 2023, 12:876 (poster) (https://doi.org/10.7490/f1000research.1119538.1)

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Statistical analysis of mass spectrometry generated peptidomics data

Haowen Qiu¹, Md Shadman Ridwan Abid, Somayeh Mousavi, James W. Checco

Published 24 Jul 2023 (https://doi.org/10.7490/f1000research.1119538.1)

Author Affiliations

¹ Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Copyright © 2023 Qiu H 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 24 Jul 2023

Statistical analysis of mass spectrometry generated peptidomics data
[version 1; not peer reviewed]

Haowen Qiu¹, Md Shadman Ridwan Abid, Somayeh Mousavi, James W. Checco

Author Affiliations

¹ Center for Biotechnology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Presented at

Bioconductor Annual Conference (BioC), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

mass spectrometry, peptidomics, run-to-run variability, missing values, pooled QC samples, label-free

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