Scripts for Anti-HLA antibody target prediction via machine learning.
These datasets comprise mismatched eplets from HLA alleles tested in single antigen panels of patients waiting for a solid organ transplantation. The experiments described here have the aim of classifying each eplet/panel/patient as reactive or non-reactive. Tip: reactive eplets usually have greater MFI values.
- Simple train/test validation. 89% accuracy and 88% AUC-ROC.
- Cross-validation. 88% accuracy and 92% AUC-ROC.
- Cross-validation & feature selection. 89% accuracy and 94% AUC-ROC.
- Cross-validation & feature selection & hyperparameter tuning. 91% accuracy and 94% AUC-ROC.
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