https://github.com/andim/paper-tcellexp
Source code accompanying the paper "Regulation of T cell expansion by antigen presentation dynamics "
Science Score: 13.0%
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Low similarity (11.6%) to scientific vocabulary
Keywords
biophysics
openscience
Last synced: 5 months ago
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Source code accompanying the paper "Regulation of T cell expansion by antigen presentation dynamics "
Basic Info
- Host: GitHub
- Owner: andim
- License: mit
- Language: Python
- Default Branch: master
- Size: 916 KB
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- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Topics
biophysics
openscience
Created almost 7 years ago
· Last pushed almost 7 years ago
https://github.com/andim/paper-tcellexp/blob/master/
# Regulation of T cell expansion by antigen presentation dynamicsThis repository contains the source code associated with the manuscript Mayer, Zhang, Perelson, Wingreen: [Regulation of T cell expansion by antigen presentation dynamics](https://doi.org/10.1073/pnas.1812800116), PNAS 2019 It allows reproduction of all numerical results reported in the manuscript. ## Installation requirements The code uses Python 3.6+. A number of standard scientific python packages are needed for the numerical simulations and visualizations. An easy way to install all of these is to install a Python distribution such as [Anaconda](https://www.continuum.io/downloads). - [numpy](http://github.com/numpy/numpy/) - [scipy](https://github.com/scipy/scipy) - [pandas](http://github.com/pydata/pandas) - [matplotlib](http://github.com/matplotlib/matplotlib) Additionally the code also relies on this package: - [projgrad](https://github.com/andim/projgrad) ## Structure/running the code Every folder contains a file `plot.py` which needs to be run to produce the figures. For a number of figures cosmetic changes were done in inkscape as a postprocessing step. In these cases the figures will not be reproduced precisely. To help reuse the final edited figures are provided in png/svg format. ## Contact If you run into any difficulties running the code, feel free to contact us at `andimscience@gmail.com`. ## License The source code is freely available under an MIT license. The plots are licensed under a Creative commons attributions license (CC-BY).
Owner
- Name: Andreas Tiffeau-Mayer
- Login: andim
- Kind: user
- Location: London
- Company: University College London
- Website: https://andim.github.io/
- Twitter: andimscience
- Repositories: 26
- Profile: https://github.com/andim
Quantitative Immunology, Biological Physics
This repository contains the source code associated with the manuscript
Mayer, Zhang, Perelson, Wingreen: [Regulation of T cell expansion by antigen presentation dynamics](https://doi.org/10.1073/pnas.1812800116), PNAS 2019
It allows reproduction of all numerical results reported in the manuscript.
## Installation requirements
The code uses Python 3.6+.
A number of standard scientific python packages are needed for the numerical simulations and visualizations. An easy way to install all of these is to install a Python distribution such as [Anaconda](https://www.continuum.io/downloads).
- [numpy](http://github.com/numpy/numpy/)
- [scipy](https://github.com/scipy/scipy)
- [pandas](http://github.com/pydata/pandas)
- [matplotlib](http://github.com/matplotlib/matplotlib)
Additionally the code also relies on this package:
- [projgrad](https://github.com/andim/projgrad)
## Structure/running the code
Every folder contains a file `plot.py` which needs to be run to produce the figures. For a number of figures cosmetic changes were done in inkscape as a postprocessing step. In these cases the figures will not be reproduced precisely. To help reuse the final edited figures are provided in png/svg format.
## Contact
If you run into any difficulties running the code, feel free to contact us at `andimscience@gmail.com`.
## License
The source code is freely available under an MIT license. The plots are licensed under a Creative commons attributions license (CC-BY).