Cited by 2Bioinformatics and Genomic NetworksPhilosophy of Biology and Scientific ExplanationInterdisciplinary Research and Collaboration

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Systems medicine—viewed through the real and computing lenses

Open access
Subramaniam, Shankar, Nadeau, Joseph H.·2010·WIREs Systems Biology and Medicine

Abstract

This article is categorized under: Translational, Genomic, and Systems Medicine > Translational Medicine Analytical and Computational Methods > Computational Methods

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Crossref · 10.1002/wsbm.103

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6 of 6 references verified0 citation errors · 0 not checkable

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  • Networks can be modeled as graphs consisting of elements that exhibit specific interactions with other elements.

    “One way to model such networks is as graphs consisting of elements that exhibit specific interactions with other elements [60–64].”

    From Multi-omics approaches to disease (2017) · cites this paper as [63]

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Citations

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Research works printed but not linked: 2

  1. Sandhu GS, 2010, Whole animal imaging, WIREs Comp Stat, 2, 398
  2. Edelman LB, 2010, In silico models of cancer, WIREs Comp Stat, 2, 438

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Metadata

Authors
Subramaniam, S., & Nadeau, J. H.
Affiliations
  • University of California San Diego (US)
  • Case Western Reserve University (US)
Corresponding author
Subramaniam, Shankar
Venue
WIREs Systems Biology and Medicine
Publisher
Wiley
Published
2010-06-15
Volume
2
Issue
4
Pages
383-384
ISSN
  • 1939-005X (ISSN-L)
  • 1939-5094
OpenAlex
W1998365264
Cited by
2
References
6
Citations by year
2017: 1 · 2012: 1
Type
journal article
Language
en
Open access
Locations
  • WIREs Systems Biology and Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Interdisciplinary Research and Collaboration
Keywords
systems medicine, systems biology, translational medicine, computational methods, real-world evidence
MeSH terms
Diagnostic Imaging, Humans, Systems Biology

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