Madrigal
Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data
Language: python
Author: Daniel Binary (@dbinary)
6 stars · 222 views
Files
- README.md (markdown)
- sweep.py (python)
- pretrain_twosides_basal.yaml (yaml)
- GeomCA.py (python)
- eval_utils.py (python)
- run_normalize_scores.sh (bash)
- normalize_scores.py (python)
- pretrain.py (python)
- experiments_run.py (python)
- train.py (python)
- LM_decoder ()
- sweep_config_elated_sweep_163.yaml (yaml)
- chemcpa_finetune_configs.yaml (yaml)
- text_augmentation ()
- configs ()
- chemcpa ()
- train_ddi_mistral.py (python)
- TWOSIDES ()
- openai_api_request_parallel_processor.py (python)
- cl_pretrain ()
- README.md (markdown)
- data.py (python)
- ddi_finetune ()
- DrugBank ()
- helper.py (python)
- pretrain_twosides.yaml (yaml)
- sweep_config_hardy_sweep_321.yaml (yaml)
- madrigal ()
- chemcpa ()
- chemCPA ()
- sweep_config_good_sweep_105.yaml (yaml)
- env_new.yaml (yaml)
- parse_args.py (python)
- simclr.py (python)
- utils.py (python)
- predict.py (python)
- model.py (python)
- data ()
- evaluate ()
- profiling.py (python)
- models ()
- modality_pretraining ()
- cv ()
- models.py (python)
- kg ()
- str ()
- tx ()
- notebooks ()
- scripts ()
- analysis ()
- data.py (python)
- cv_pretraining.py (python)
- cl_pretrain ()
- outcome_mapper.json (json)
- structure_pretraining_muv.py (python)
- pretrain_drugbank_basal.yaml (yaml)
- ATTRIBUTION.md (markdown)
- paths.py (python)
- run_pretrain_drugbank.sh (bash)
- chemcpa_tx_adapting_configs_sweep.yaml (yaml)
- chemcpa_finetune_configs_no_adapting.yaml (yaml)
- data.py (python)
- LICENSE (plaintext)
- embedding.py (python)
- model.py (python)
- embeddings.py (python)
- chemcpa_tx_adapting_configs.yaml (yaml)
- pretrain_drugbank_shared_basal.yaml (yaml)
- manual_run.py (python)
- chemcpa_config_utils.py (python)
- data_utils.py (python)
- chemcpa_utils.py (python)
- evaluate.py (python)
- metrics.py (python)
- kg_pretraining.py (python)