Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems-Reference-Cited by-同舟云学术

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Statistical Testing for Protein Equivalence Identifies Core Functional Modules Conserved across 360 Cancer Cell Lines and Presents a General Approach to Investigating Biological Systems

Published:2024-05-28 Issue:6 Volume:23 Page:2169-2185
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Ergin Enes K.¹²,Myung Junia J.K.¹²,Lange Philipp F.¹²^ORCID

Affiliation:

1. Department of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z7, Canada

2. Michael Cuccione Childhood Cancer Research Program, BC Children’s Hospital Research Institute, Vancouver, British Columbia V5Z 2H4, Canada

Funder

Canada Research Chairs

BC Children???s Hospital Foundation

Government of Canada

Michael Smith Foundation for Health Research

University of British Columbia

Michael Cuccione Foundation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.4c00131

Reference67 articles.

1. Recent advances in mass spectrometry based clinical proteomics: applications to cancer research

2. Recent developments and applications of quantitative proteomics strategies for high-throughput biomolecular analyses in cancer research

3. Relative and Absolute Quantitation in Mass Spectrometry–Based Proteomics

4. Quantitative proteomics characterization of cancer biomarkers and treatment

5. prolfqua: A Comprehensive R-Package for Proteomics Differential Expression Analysis

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