Analysis code for Perturb-ME: scalable mechanism discovery from phenotype-enriched genome-wide CRISPR screens (Wang, Gu, Frangieh et al., bioRxiv 2026)
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Aug 18, 2026 - Python
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mhc-class-i
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Leakage-aware, patient-level, reproducible benchmark resource for public MHC-I neoantigen predictors
benchmark machine-learning bioinformatics reproducibility neoantigen immunogenicity neoantigen-prediction cancer-immunology mhc-class-i patient-level-evaluation
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Aug 21, 2026 - Python
HLA-A*02:01 nine-mer peptide binding prediction from sequence, with grouped validation and fully traceable metrics.
python machine-learning bioinformatics reproducible-research scikit-learn decision-trees hla data-quality immunoinformatics computational-immunology epitope-prediction interpretable-machine-learning vaccine-design neoantigen binding-affinity iedb peptide-mhc mhc-class-i
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Aug 16, 2026 - Python
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