seqgra.seqgras module¶

MIT - CSAIL - Gifford Lab - seqgra

seqgra complete pipeline: 1. generate data based on data definition (once), see run_simulator.py 2. train model on data (once), see run_learner.py 3. evaluate model performance with SIS, see run_sis.py

@author: Konstantin Krismer

create_parser()[source]¶

get_all_grammar_ids(output_dir: str) → List[str][source]¶

get_all_model_ids(output_dir: str, grammar_ids: List[str]) → List[str][source]¶

main()[source]¶

run_seqgra_summary(analysis_id: str, comparator_ids: List[str], output_dir: str, grammar_ids: Optional[List[str]] = None, model_ids: Optional[List[str]] = None, set_names: Optional[List[str]] = None, model_labels: Optional[List[str]] = None) → None[source]¶