Panchamahabhuta Genomics: Tridosha Disease Prediction Model
收藏Zenodo2026-03-21 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.18985678
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资源简介：
Trained Random Forest model for predicting disease category from protein Tridosha composition. Achieves 91.2% accuracy across 13 disease categories using 68,573 ClinVar pathogenic variants. Includes protein Prakriti database and feature encoders. Part of the Panchamahabhuta Genomics framework described in Pande et al. (2025).
提供机构：
Zenodo
创建时间：
2026-03-21
