Pipeline for harmonising immunological receptor–epitope interactions
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Updated
May 28, 2026 - Python
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t-cell-epitope
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An ML-based immunogenicity predictor for T-cell epitopes of Mycobacterium Tuberculosis. It is purely based on amino acid sequences of epitope. Used Physicochemical descriptors and Amino Acid composition to make this proteomic data ML ready.
random-forest bioinformatics-pipeline amino-acid-sequence immunoinformatics epitopes-prediction mycobacterium-tuberculosis epitope-immunogenicity-prediction immunogenicity-prediction t-cell-epitope
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Updated
Mar 7, 2026 - Python
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