mlmed_ranking

Code for the paper "Matching Anticancer Compounds and Tumor Cell Lines by Neural Networks with Ranking Loss"

HowTo

To run all the experiments from the paper simply run 'run_experiments.sh'
- This runs the PaccMann and NN baseline models on the data
To plot the results after running 'run_experiments.sh' look into the notebook 'plot_figures.ipynb'

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
cv_splits/cv_5		cv_splits/cv_5
data/gdsc_data		data/gdsc_data
results/preds		results/preds
GDSC_ELWC_ranking_tfrecord_writer.py		GDSC_ELWC_ranking_tfrecord_writer.py
README.md		README.md
paccmann_custom_layers.py		paccmann_custom_layers.py
plot_figures.ipynb		plot_figures.ipynb
ranking_cv.py		ranking_cv.py
ranking_evaluation.py		ranking_evaluation.py
ranking_model.py		ranking_model.py
requirements.txt		requirements.txt
run_experiments.sh		run_experiments.sh
run_gdsc_model_cv.py		run_gdsc_model_cv.py
scoring_functions.py		scoring_functions.py
utils.py		utils.py