decima¶
Contents¶
- Overview
- Module Reference
- Tutorial: Attribution Motif Discovery
- Tutorial: Variant Effect Prediction
- Tutorial: Finetuning
- 1. Load input anndata file
- 2. Normalize and log transform data
- 3. Create intervals surrounding genes
- 3. Split genes into training, validation and test sets
- 4. Save processed anndata
- 5. Create an hdf5 file
- 6. Set training parameters
- 7. Generate training commands
- 8. Make and evaluate predictions using trained models
- Tutorial: Modisco
- Tutorial: Gene Expression Prediction
- Contributions & Help
- License
- Authors
- Changelog