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gitter-lab
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active-learning-drug-discovery
End-to-end active learning pipeline for virtual screening and drug discovery
MIT License
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Update test.yml on new branch
#14
kassabry
opened
8 months ago
1
Added the workflow file for sample data
#13
kassabry
closed
8 months ago
1
Make CPU conda environment the default
#12
agitter
opened
11 months ago
0
Switch continuous integration to GitHub Actions
#11
agitter
closed
3 years ago
0
Related work: Multi-objective active machine learning rapidly improves structure–activity models and reveals new protein–protein interaction inhibitors
#10
agitter
opened
5 years ago
0
Related work: Accurate Hit Estimation for Iterative Screening Using Venn–ABERS Predictors
#9
agitter
opened
5 years ago
0
Scoring multiple assays
#8
agitter
opened
5 years ago
0
Ordinal regression
#7
agitter
opened
5 years ago
1
Optimizing clustering
#6
agitter
opened
5 years ago
2
Quantifying uncertainty
#5
agitter
opened
5 years ago
0
Simulation runs to find good parameters
#4
Malnammi
opened
5 years ago
0
Strategy Evaluation
#3
Malnammi
opened
5 years ago
5
Incorporating cost
#2
Malnammi
opened
5 years ago
3
Remarks/issues with current weighted exploitation-exploration strategy
#1
Malnammi
opened
5 years ago
3