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GP regression model for DLI therapy data for CML

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dli_gpr

GP regression model for T-cell cluster changes in response to donor lymphocyte infusion (DLI) therapy.

This repository implements two models: a vanilla Gaussian process regression model for modeling tumor dynamics, and a hierarchical model for heteroscedastic noise.

Dependencies

The following packages are required to run the demo notebooks. They are also specified in requirements.txt.

matplotlib
numpy
pandas
torch
pyro-ppl
tqdm

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GP regression model for DLI therapy data for CML

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  • Jupyter Notebook 97.8%
  • Python 2.2%