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pathogenicity-prediction

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AI-powered variant pathogenicity prediction for cancer genes using Evo2-7B evolutionary foundation model. Combines deep learning, VEP annotation, gnomAD frequencies, and explainable AI for precision oncology. Built with Next.js + Modal + PostgreSQL.

  • Updated Jul 21, 2026
  • Python

A CLI-operated bioinformatics platform for gene variant pathogenicity screening and computational gene therapy candidate identification. Integrates an AI interpreter to generate biologically grounded hypotheses based on PRISM result data, and proposes experimental follow-ups. Includes project system file navigation + accession for workflow ease.

  • Updated Dec 27, 2025
  • Python

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