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Connection

Atsushi Doi to Computer Simulation

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

1.280
  1. Constructing biological pathway models with hybrid functional petri nets. Stud Health Technol Inform. 2011; 162:92-112.
    View in: PubMed
    Score: 0.267
  2. Simulation-Based Validation of the p53 Transcriptional Activity with Hybrid Functional Petri Net. Stud Health Technol Inform. 2011; 162:130-42.
    View in: PubMed
    Score: 0.267
  3. 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: 0.189
  4. 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: 0.189
  5. Genomic Object Net: II. Modelling biopathways by hybrid functional Petri net with extension. Appl Bioinformatics. 2003; 2(3):185-8.
    View in: PubMed
    Score: 0.154
  6. Biopathways representation and simulation on hybrid functional petri net. Stud Health Technol Inform. 2011; 162:77-91.
    View in: PubMed
    Score: 0.067
  7. Genomic data assimilation for estimating hybrid functional Petri net from time-course gene expression data. Genome Inform. 2006; 17(1):46-61.
    View in: PubMed
    Score: 0.047
  8. Biopathways representation and simulation on hybrid functional Petri net. In Silico Biol. 2003; 3(3):389-404.
    View in: PubMed
    Score: 0.038
  9. Genomic Object Net: I. A platform for modelling and simulating biopathways. Appl Bioinformatics. 2003; 2(3):181-4.
    View in: PubMed
    Score: 0.038
  10. [Dynamic pathway modeling language: CSML]. Tanpakushitsu Kakusan Koso. 2005 Dec; 50(16 Suppl):2269-74.
    View in: PubMed
    Score: 0.012
  11. 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: 0.010
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.