cancer-detection_evo2

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.

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1 Stars

0 Forks

1 Watchers

Python Language

45.1 SrcLog Score

Cost to Build

$7.06M

Market Value

$2.94M

How is this calculated?

Growth over time

2 data points · 2026-04-08 → 2026-04-15

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What is the soham-kar/cancer-detection_evo2 GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone cancer-detection_evo2

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git clone https://github.com/soham-kar/cancer-detection_evo2.git

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[email protected]:soham-kar/cancer-detection_evo2.git

Download ZIP

Download master.zip

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