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Data-driven approach to determine popular proteins for targeted proteomics translation of six organ systems

Academic Article
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Overview

authors

  • Lam, M. P. Y.
  • Venkatraman, V.
  • Xing, Y.
  • Lau, E.
  • Cao, Q.
  • Ng, D. C. M.
  • Su, Andrew
  • Ge, J. B.
  • Van Eyk, J. E.
  • Ping, P.

publication date

  • November 2016

journal

  • Journal of Proteome Research  Journal
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Research

keywords

  • bibliometrics
  • common proteins
  • data science
  • human tissue convergence
  • proteomics translation
  • semantics
  • targeted proteomics
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Identity

PubMed Central ID

  • PMC5120959

International Standard Serial Number (ISSN)

  • 1535-3893

Digital Object Identifier (DOI)

  • 10.1021/acs.jproteome.6b00095

PubMed ID

  • 27356587
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Additional Document Info

start page

  • 4126

end page

  • 4134

volume

  • 15

issue

  • 11

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