seqgraΒΆ
Version 0.0.4
Main Documentation
- Usage examples
- Commonly used suite of seqgra commands
- seqgra use cases
- Generate synthetic data only
- Generate synthetic data and train model on it
- Train model on previously synthesized data
- Train model on experimental or externally synthesized data
- Run
metrics,predict,roc, andprevaluators on model that was previously trained on synthesized data - Run SIS evaluator on model that was previously trained on experimental data
- Generate synthetic data, train model on it, and evaluate model using various gradient-based feature importance evaluators
- Generate collection of data definitions and model definitions derived from root definitions
- Subsample experimental data and generate collection of model definitions derived from root definition
- Summarize results across multiple grammars using comparators
rocandpr - Summarize results across multiple grammars using comparators
table,curve-table, andfi-eval-table
- Command line utilities
- Data definition
- Model definition
- Model definitions of common deep learning architectures
- Simulators, Learners, Evaluators, Comparators
- ID conventions
- Format of input data
outputfolder structure