Mechanistic Pan-Cancer Signaling Model
This project contains the code for the manuscript "Explainable Machine Learning Identifies Factors for Dosage Compensation in Aneuploid Human Cancer Cells" by Heller et al. (https://doi.org/10.1101/2025.05.12.653427).
Simple LGCA model for competition between cells with different proliferation/migration rates
Project to study proliferation and metabolic liabilities across several thousand cancer samples.
Stochastic simulation of cell populations proliferation
Created two MATLAB codes using ROI and image-based processing to quantify the area of proliferation cells in three different types of tissues for numerous piglet uteri. Automated quantification of proliferating cell area, reducing analysis time from days to hours for biologists. Used image J for image analysis.
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