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Connection

Atsushi Doi to Models, Biological

This is a "connection" page, showing publications Atsushi Doi has written about Models, Biological.
Connection Strength

0.938
  1. Constructing biological pathway models with hybrid functional petri nets. Stud Health Technol Inform. 2011; 162:92-112.
    View in: PubMed
    Score: 0.234
  2. A combined pathway to simulate CDK-dependent phosphorylation and ARF-dependent stabilization for p53 transcriptional activity. Genome Inform. 2006; 17(1):112-23.
    View in: PubMed
    Score: 0.165
  3. Constructing biological pathway models with hybrid functional Petri nets. In Silico Biol. 2004; 4(3):271-91.
    View in: PubMed
    Score: 0.144
  4. Genomic Object Net: II. Modelling biopathways by hybrid functional Petri net with extension. Appl Bioinformatics. 2003; 2(3):185-8.
    View in: PubMed
    Score: 0.134
  5. Neuromodulation and the orchestration of the respiratory rhythm. Respir Physiol Neurobiol. 2008 Dec 10; 164(1-2):96-104.
    View in: PubMed
    Score: 0.051
  6. Simulation-based validation of the p53 transcriptional activity with hybrid functional petri net. In Silico Biol. 2006; 6(1-2):1-13.
    View in: PubMed
    Score: 0.041
  7. Automatic drawing of biological networks using cross cost and subcomponent data. Genome Inform. 2005; 16(2):22-31.
    View in: PubMed
    Score: 0.039
  8. A versatile petri net based architecture for modeling and simulation of complex biological processes. Genome Inform. 2004; 15(1):180-97.
    View in: PubMed
    Score: 0.036
  9. Biopathways representation and simulation on hybrid functional Petri net. In Silico Biol. 2003; 3(3):389-404.
    View in: PubMed
    Score: 0.034
  10. Genomic Object Net: I. A platform for modelling and simulating biopathways. Appl Bioinformatics. 2003; 2(3):181-4.
    View in: PubMed
    Score: 0.034
  11. Biopathways representation and simulation on hybrid functional petri net. Stud Health Technol Inform. 2011; 162:77-91.
    View in: PubMed
    Score: 0.015
  12. Unraveling dynamic activities of autocrine pathways that control drug-response transcriptome networks. Pac Symp Biocomput. 2009; 251-63.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.