dockop:更快的对接
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2021-05-01
06:48:24
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dockop-master.zip （80个子文件） 
dockop-master figures 
trainingSetSize.svg 25KB
rawdat.png 26KB
single_it_enrichment.html 56KB fpsize_figure.svg 688KB fpsize_figure.html 310KB active_learning_percentage.html 28KB single_it_computationdays.svg 77KB single_it_computationdays.html 55KB fpsize_logreg.html 37KB hit_rate_vs_rank.svg 44KB time_comparison.html 28KB trainingSetSize.html 5KB knn.html 180KB knn.svg 819KB active_learning_percentage.svg 48KB active_learning_computationdays.svg 49KB ampc_ap.html 56KB fpsize_logreg_d4.svg 109KB ampc_ap.svg 61KB single_it_enrichment.svg 75KB hit_rate_vs_rank.html 9KB fpsize_logreg.svg 106KB active_learning_computationdays.html 28KB
dockop.yml 273B .gitattributes 66B code plot_scripts plot_wholedataset.py 6KB plot_logreg.py 4KB plot_fpcomparison_figure.py 4KB plot_trainingSetSize.py 3KB plot_ampc_ap.py 1KB empirical_hit_rate_fit.ipynb 155KB AmpC_all_single.ipynb 20KB parse_data.py 1KB main.py 1KB unused plot_knn.py 959B write_estimators_json.py 4KB knn_classifier.py 2KB clusterer.py 6KB utils.py 492B plot_time_optimisation.py 6KB run_knn.py 3KB AmpC_all_figures.ipynb 64KB run_morgan_feat_trainingSet.sh 458B AmpC_all_iterative.ipynb 8KB README.md 2KB D4_all_single.ipynb 19KB run_all.sh 332B D4_all_iterative.ipynb 12KB __pycache__ utils.cpython-37.pyc 718B estimator.cpython-38.pyc 4KB knn_classifier.cpython-38.pyc 2KB utils.cpython-38.pyc 726B estimator.cpython-37.pyc 4KB evaluate.cpython-38.pyc 2KB set_up.cpython-37.pyc 8KB evaluator.cpython-38.pyc 2KB set_up.cpython-38.pyc 8KB evaluate.cpython-37.pyc 8KB D4_all_generate_FPs.ipynb 11KB estimator.py 5KB set_up.py 10KB AmpC_all_generate_FPs.ipynb 11KB LICENSE 1KB processed_data ampc_reconstruction_0.3_1_.csv 2KB logreg_only.json 217B D4_single_0.3.csv 4KB d4_smallModel.joblib 257KB AmpC_short.npy 1.84MB evaluation_estimators.json 1KB evaluation_estimators_clf.json 2KB compdays.html 69KB AmpC_short.smi 39.8MB ampc_cutoff.csv 24KB ampc_ap.csv 1KB AmpC_single_0.3.csv 4KB D4_reconstruction_0.3_1_.csv 3KB README.md 5KB data 41586_2019_917_MOESM4_ESM.csv 78KB README.md 377B .gitignore 392B资源评论
