This repo constains the python class that analyzes time-course experimental data of cancer stem cells/tumor initiating cells (TICs) proliferation using maximum likelihood estimate. As a benchmark, I generate synthetic data with different models and use MLE to infer the true model parameters. More details to come.
HTML versions of these notebooks are here:
http:https://physics.bu.edu/~chinghao/Bayesian-TIC/Generate_n_analyze_exp.html
http:https://physics.bu.edu/~chinghao/Bayesian-TIC/synthetic_data.html