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regulatory-t-cells

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tk-yasuno / treg-raptor-tree

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Treg免疫細胞系譜を例に、RAPTORアルゴリズムを実装したGPU加速対応のRAG（Retrieval-Augmented Generation）システムです。実際に、5ノードから14ノードを実現しました。

gpu-acceleration immunology raptor document-retrieval hierarchical-clustering biomedical-text-mining literature-mining rag knowledge-tree treg biomedical-nlp retrieval-augmented-generation topic-hierarchy agentic-ai hierarchical-rag domain-specific-rag regulatory-t-cells knowledge-structuring
  • Updated Nov 2, 2025
  • Python

tk-yasuno / enhanced-treg-raptor

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PubMedから実際のTreg関連文献を収集し、Enhanced Treg Vocabulary（7層316用語）を用いて高精度に分類。品質評価指標（Silhouette + DBI）に基づく最適クラスタリングでRAPTORツリーを構築します。

machine-learning clustering pubmed immunology raptor hierarchical-clustering biomedical-text-mining controlled-vocabulary silhouette-score optimal-clustering treg biomedical-nlp topic-hierarchy davies-bouldin-index cluster-evaluation regulatory-t-cells domain-specific-vocabulary hierarchical-vocabulary
  • Updated Nov 3, 2025
  • Python

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