GitHub - takeshita-sho/PiCAP-Calibration

Calibration of Protein interaction of CArbohydrate Predictor (PiCAP). PiCAP is described in Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay. The goal of calibrating is so that PiCAP produces values that are more representative of probabilities.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
__pycache__		__pycache__
egnn		egnn
models_DL		models_DL
results		results
README.md		README.md
calc_metrics.py		calc_metrics.py
calibration_metrics.py		calibration_metrics.py
fit_isotonic.py		fit_isotonic.py
graylab_rotation_talk.pdf		graylab_rotation_talk.pdf
iso_bar.py		iso_bar.py
iso_bar.sh		iso_bar.sh
iso_fit.sh		iso_fit.sh
metrics.py		metrics.py
metrics.sh		metrics.sh
picap.py		picap.py
predict_prot.py		predict_prot.py
predict_res.py		predict_res.py
proteome_plot.py		proteome_plot.py
run_bayes.py		run_bayes.py
run_bayes.sh		run_bayes.sh
run_picap.py		run_picap.py
run_picap.sh		run_picap.sh
run_proteome.py		run_proteome.py
run_proteome.sh		run_proteome.sh
s1.sh		s1.sh
s1b.sh		s1b.sh
s2b.sh		s2b.sh
s2c.sh		s2c.sh
s2p.sh		s2p.sh
train_1.py		train_1.py
train_1_bayes.py		train_1_bayes.py
train_2-bayes.py		train_2-bayes.py
train_2-carb.py		train_2-carb.py
train_2-prot.py		train_2-prot.py
utils.py		utils.py
utils_model.py		utils_model.py

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