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Description
Possible groups of predictions (each mapping predictor name -> number):
- mhc_affinity_ic50
- mhc_affinity_score
- mhc_affinity_percentile_rank
- mhc_stability_hours
- mhc_stability_score
- mhc_stability_percentile_rank
- antigen_processing_score
- antigen_processing_percentile_rank
- pmhc_presentation_score
- pmhc_presentation_percentile_rank
- immunogenicity_score
- immunogenicity_percentile_rank
Also change wt_peptide_sequence to:
- closest_reference_peptide_sequence_in_any_protein
- closest_reference_peptide_sequence_in_same_protein
And calculate:
- edit_distance_to_closest_reference_peptide_in_any_protein
- edit_distance_to_closest_reference_peptide_in_same_protein
- edit_distance_to_closest_reference_peptide_in_any_protein_PMBEC
- edit_distance_to_closest_reference_peptide_in_same_protein_PMBEC
How to avoid duplicating every prediction for MT vs. WT-any vs. WT-same?
Possible API:
MHC affinity score:
epitope.predictions["mhc"]["affinity"]["score"]["NetMHCpan-4.1"]
epitope.predictions["mhc"]["affinity"]["score"]["MHCflurry-2.0"]
epitope.predictions["mhc"]["affinity"]["score"]["median"]
epitope.predictions["mhc"]["affinity"]["score"]["mean"]
Integrated Antigen Processing has one fewer level?
epitope.predictions["processing"]["score"]["MHCflurry-2.0"]
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