Estimation of the proteomic cancer co-expression sub networks by using association estimators

Erdoğan, C. orcid.org/0000-0001-5495-7754, Kurt, Z. orcid.org/0000-0003-3186-8091 and Diri, B. (2017) Estimation of the proteomic cancer co-expression sub networks by using association estimators. PLOS ONE, 12 (11). e0188016. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Editors:
  • Yamanishi, Y.
Copyright, Publisher and Additional Information:

This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. (https://creativecommons.org/publicdomain/zero/1.0/)

Keywords: Algorithms; Computational Biology; Humans; Neoplasm Proteins; Neoplasms; Protein Interaction Maps; Proteomics
Dates:
  • Published: 16 November 2017
  • Published (online): 16 November 2017
  • Accepted: 29 October 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 08 Nov 2023 11:57
Last Modified: 08 Nov 2023 11:57
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: 10.1371/journal.pone.0188016
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Open Archives Initiative ID (OAI ID):

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Licence: Creative Commons: Public Domain Dedication

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