hssling/parkinsons-evidence-to-discovery-prioritisation

这个Hugging Face数据集包包含了一个关于帕金森病（PD）预防和疾病修饰治疗策略优先排序的AI辅助证据合成和计算验证项目的处理研究资产。数据集整合了多种数据，包括证据优先级评分、路径到干预框架、个体和公共卫生预防措施、临床试验挖掘输出、转录组差异表达输出、GO生物过程富集、探索性ReactomePA富集、药物再利用候选排名等。数据集旨在用于研究、教育、验证、可重复性和假设生成。

This Hugging Face dataset package contains processed research assets from an AI-assisted evidence synthesis and computational validation project on Parkinsons disease (PD) prevention and disease-modifying therapeutic strategy prioritisation. The dataset integrates: evidence-priority scores for PD prevention and disease-modification candidates; pathway-to-intervention framework; individual and public-health prevention measures; ClinicalTrials.gov mining outputs; GSE72267 blood transcriptomic differential-expression outputs; GO biological-process enrichment; exploratory ReactomePA enrichment; drug-repurposing candidate rankings; publication figures, scripts, tables, manuscript files, reference audits, and reproducibility logs. The dataset is intended for research, education, validation, reproducibility, and hypothesis generation.