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Materials for Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects at NPJ System Biology and Its Applications

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erkara/Bystander-Effect-CAR-T-Modeling

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Bystander-Effect-CAR-T-Modeling

This repository included all the codes, dataset and other materials regarding our publication: Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects at NPJ System Biology and Its Applications. Here is a brief explanation the material present in the repo:

data: this folder has the data we extracted from Klampatsa et.al.

meta_data: data we generated during our analysis.

virtual_patient_analysis: Matlab codes for generation and analysis of two virtual patient cohorts.

data_analysis.ipynb: Python code to reproduce most of the results in the paper. Detailed explanations are

provided in the corresponding sections of the notebook.Other Matlab codes are self-explanatory with more descriptions within them. Please let us know if you need any question or help. You can send an email to erdikara@spelman.edu. If you find this repo useful please cite as

  @article{kara2024mathematical,
    title={Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects},
    author={Kara, Erdi and Jackson, Trachette L and Jones, Chartese and Sison, Rockford and McGee II, Reginald L},
    journal={npj Systems Biology and Applications},
    volume={10},
    number={1},
    pages={105},
    year={2024},
    publisher={Nature Publishing Group UK London}
  }

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Materials for Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects at NPJ System Biology and Its Applications

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