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Project
Download File
Open Modeling and Exchange (OMEX)
Outputs
JavaScript Object Notation (JSON) in BioSimulators simulator schema
Zip of HDF5 and PDF files
Log
JavaScript Object Notation (JSON) in BioSimulators log schema
Parisa Yazdjerdi, Nader Meskin, Mohammad Al-Naemi, Ala-Eddin Al Moustafa & Levente Kovács. Reinforcement learning-based control of tumor growth under anti-angiogenic therapy. Computer Methods and Programs in Biomedicine 173 (2019).
Uniform time course
LSODA/LSODAR hybrid method
SBML
SED-ML
COMBINE/OMEX
COPASI 4.36.260
647a4b6877b666965506128f
BioModels
View project essentials in the liteweight Reproducibility Portal.
curation_image.png
Portable Network Graphics (PNG)
curation_notes.txt
TEXT
Fig 1.png
metadata.rdf
OMEX Metadata
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy-biopax2.owl
Resource Description Framework XML (RDF-XML)
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy-biopax3.owl
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy-matlab.m
MATLAB
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy-octave.m
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy.cps
COPASI Markup Language (CopasiML)
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy.ode
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy.sedml
Simulation Experiment Description Markup Language (SED-ML)
Yazdjer2019 - reinforcement learning-based control of tumor growth under anti-angiogenic therapy.xml
Systems Biology Markup Language (SBML)
