MetaNetwork Enhances Biological Insights from Quantitative Proteomics Differences by Combining Clustering and Enrichment Analyses-Reference-Cited by-同舟云学术

MetaNetwork Enhances Biological Insights from Quantitative Proteomics Differences by Combining Clustering and Enrichment Analyses

Published:2022-01-24 Issue:2 Volume:21 Page:410-419
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Carr Austin V.¹^ORCID,Frey Brian L.¹^ORCID,Scalf Mark¹,Cesnik Anthony J.¹^ORCID,Rolfs Zach¹^ORCID,Pike Kyndal A.¹,Yang Bing²,Keller Mark P.³,Jarrard David F.²,Shortreed Michael R.¹^ORCID,Smith Lloyd M.¹

Affiliation:

1. Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

2. Department of Urology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

3. Department of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States

Funder

National Cancer Institute

U.S. National Library of Medicine

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.1c00756

Reference35 articles.

1. Functional annotation and biological interpretation of proteomics data

2. Proteomics of SARS-CoV-2-infected host cells reveals therapy targets

3. Discovery and Validation of Clinical Biomarkers of Cancer: A Review Combining Metabolomics and Proteomics

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5. Mining cancer biology through bioinformatic analysis of proteomic data

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