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cellsignalling

Code for the publication Effects of cross-talk and pleiotropy on the specificity and accuracy of receptor signaling

All figures can be generated from the script /figures/generate_paper_figures.py

  • Figure 1D: run the function figure_1_and_2_heatmaps(); saves to /output/ligand1
  • Figure 1E&2B: run the function plot_1E_and_2B(); saves to /output
  • Figure 1F: run the function plot_1F(); saves to /output
  • Figure 2C&2D: run the function figure_1_and_2_heatmaps(); saves to /output/ligand1
  • Figure 3C&D: run the function multiple_heatmaps(); saves to /output/ligand2
  • Figure S1: run the function plot_S1(); saves to /output
  • Figure S2: run the function plot_S2(); saves to /output
  • Figure S3: run the function plot_S3(); saves to /output/ligand1/SI_ratios
  • Figure S4: run make_supplementary_histograms.py in /simulation; saves to /simulation/output

To recreate all figures:

  1. Run the Mathematica master file in the parent directory
  2. run /figures/equations_txt2python.py
  3. run /figures/generate_paper_figures.py
  4. run /simulation/make_supplementary_histograms.py

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Simulations for stochastic cell signalling models

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