Panchamahabhuta Genomics: Tridosha Disease Prediction Model
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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).
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Zenodo创建时间：
2025-12-25
