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Code for paper 'Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response'

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MathOnco/NSCLC_Distinct_ecologies

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NSCLC_Distinct_ecologies

Code for paper 'Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response'. Link

Description for each folder

  • FoV analysis: Outline code to process a single Field of View (FoV)
  • Non-spatial analysis: Code to handle pixel based analysis of images.
  • Predictions using NN SDM: Refer to an implementation of the NN SDMs here.
  • RoGM_analysis: Code that generates the Kaplan Meier survival curves a) for SD/PD groups, and b) using the ratio of geometric means (RoGM) values for SD/PD groups.
  • Fig3_code: Code outlines to generate neighborhoods from cell segments and quadrats.
  • Fig5_predictions: Code outlines to generate disease progression predictions using SVMs.
  • Fig6_Mistic_code: Run Mistic as detailed here.

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Code for paper 'Distinct tumor-immune ecologies in NSCLC patients predict progression and define a clinical biomarker of therapy response'

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