MEDomics-UdeS's repositories
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MEDomicsLab-docs
Documentation for the MEDomicsLab App
Language:PythonGPL-3.0000
Language:PythonGPL-3.0000
ThePetaleProject
This repository stores the code implemented to generate the results of our paper: Machine learning strategies to predict late adverse effects in childhood acute lymphoblastic leukemia survivors
Language:PythonGPL-3.0000
predict-immunotherapy-response
This project contains the code which predicts response to immune checkpoint inhibition treatment from biomarkers of patients suffering from cancers. The goal is to highlight the predictive property of mutational signatures in immune checkpoint inhibition treatment.
Language:Jupyter NotebookGPL-3.0000