Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: rheiland
  • Language: C++
  • Default Branch: main
  • Size: 11.2 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog License Citation

README.md

PhysiCell 2D tumor model for S. Lu

  • in spite of the "3D" suffix on various files, it is intended to be a 2D model
  • the original main.cpp expected command line args: [settings path] [output path] [initial cancer cell count] [initial macrophage count], but for testing

Owner

  • Name: Randy Heiland
  • Login: rheiland
  • Kind: user
  • Location: Bloomington, IN
  • Company: Indiana University

Research Associate in @MathCancer Lab. Intelligent Systems Engineering, IU.

Citation (CITATION.txt)

If you use PhysiCell in your project, please cite PhysiCell and the version 
number, such as below:                                                      
                                                                             
We implemented and solved the model using PhysiCell (Version 1.14.2) [1].    
                                                                             
[1] A Ghaffarizadeh, R Heiland, SH Friedman, SM Mumenthaler, and P Macklin, 
    PhysiCell: an Open Source Physics-Based Cell Simulator for Multicellu-  
    lar Systems, PLoS Comput. Biol. 14(2): e1005991, 2018                   
    DOI: 10.1371/journal.pcbi.1005991                                       
                                                                            
Because PhysiCell extensively uses BioFVM, we suggest you also cite BioFVM  
    as below:                                                               
                                                                             
We implemented and solved the model using PhysiCell (Version 1.14.2) [1],    
with BioFVM [2] to solve the transport equations.                           
                                                                             
[1] A Ghaffarizadeh, R Heiland, SH Friedman, SM Mumenthaler, and P Macklin, 
    PhysiCell: an Open Source Physics-Based Cell Simulator for Multicellu-  
    lar Systems, PLoS Comput. Biol. 14(2): e1005991, 2018                   
    DOI: 10.1371/journal.pcbi.1005991                                       
                                                                             
[2] A Ghaffarizadeh, SH Friedman, and P Macklin, BioFVM: an efficient para- 
    llelized diffusive transport solver for 3-D biological simulations,     
    Bioinformatics 32(8): 1256-8, 2016. DOI: 10.1093/bioinformatics/btv730 
    
If you use PhysiBoSS, please cite as below:

We implemented and solved the model using PhysiCell (Version 1.14.2) [1],    
with PhysiBoSS [2,3] to simulate the intracellular mechanisms.                           

[1] A Ghaffarizadeh, R Heiland, SH Friedman, SM Mumenthaler, and P Macklin, 
    PhysiCell: an Open Source Physics-Based Cell Simulator for Multicellu-  
    lar Systems, PLoS Comput. Biol. 14(2): e1005991, 2018                   
    DOI: 10.1371/journal.pcbi.1005991                                       
        
[2] G. Letort, A. Montagud, G. Stoll, R. Heiland, E. Barillot, P. Macklin, 
    A. Zinovyev, and L. Calzone. PhysiBoSS: a multi-scale agent based 
    modelling framework integrating physical dimension and cell signalling. 
    Bioinformatics 35(7):1188-96, 2019. DOI: 10.1093/bioinformatics/bty766.

[3] M. Ponce-de-Leon, A. Montagud, V. Noël, A. Meert, G. Pradas, E. Barillot,
    L. Calzone, and A. Valencia. PhysiBoSS 2.0: a sustainable integration of
    stochastic Boolean and agent-based modelling frameworks. NPJ Systems 
    Biology and Applications 9(1):54, 2023.
    DOI: 10.1038/s41540-023-00314-4 

If you use libRoadrunner, please cite:

    Endre T. Somogyi, Jean-Marie Bouteiller, James A. Glazier, Matthias 
    König, J. Kyle Medley, Maciej H. Swat, Herbert M. Sauro, libRoadRunner: 
    a high performance SBML simulation and analysis library, 
    Bioinformatics 31(20): 3315–21, 2015: DOI: 10.1093/bioinformatics/btv363

If you use PhysiMeSS, please cite: 

    V. Noël, M. Ruscone, R. Shuttle-worth, and C.K. Macnamara. PhysiMeSS--
    A New PhysiCell Addon for Extracellular Matrix Modelling, bioRxiv [preprint] 
    2023.10.27.564365, 2023. DOI: 10.1101/2023.10.27.564365. 

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Dependencies

sample_projects_intracellular/boolean/tutorial/scripts/environment.yml pypi
  • pcdl *
studio/environment.yml pypi
  • requests *
  • simulariumio *
studio/requirements.txt pypi
  • PyQt5 *
  • anndata *
  • matplotlib *
  • pandas *
  • requests *
  • scipy *
  • simulariumio *