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ITB_Automation_ML_Predictor

This repository contains a new feature for the pVACtools suite that enables machine learning–based prediction of neoantigen candidate selection following pVACseq. Trained on Immunogenomics Tumor Board decisions, the model supports automated prioritization and integrates into the pVACview interface.

To do: Catchy name for repo

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This repository contains a new feature for the pVACtools suite that enables machine learning–based prediction of neoantigen candidate selection following pVACseq. Trained on Immunogenomics Tumor Board decisions, the model supports automated prioritization and integrates into the pVACview interface.

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