Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution

No abstract is available for this paper.

• Publication year

  2005

• Venue

  Bioinform.

• Publication date

  2005-01-15

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1093/BIOINFORMATICS/BTH484PMID 15377501
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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• Learning from Data: Artificial Intelligence and Statistics V

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  1973influential reference

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