Multi‑tier pharmacovigilance analysis of FAERS for six ultra‑rare neurological diseases: code and processed data

This repository contains the complete Python analysis pipeline (Colab notebook) and processed summary tables used in the pharmacovigilance study of FAERS data for Batten disease (CLN2), PKAN, Niemann‑Pick type C, Sanfilippo syndrome, GM2 gangliosidosis, and Friedreich's ataxia. The pipeline performs disproportionality analysis, FDA label comparison, PubMed novelty scoring, polypharmacy adjustment, and sensitivity analyses. All outputs include the 25 novel unlabelled drug‑related safety signals, 7 monotherapy‑robust signals, E‑values, negative control analysis, MedDRA SOC mapping, and publication‑ready figures本仓库收录了针对巴顿病（CLN2）、PKAN、C型尼曼匹克病、桑菲利波综合征、GM2神经节苷脂贮积症及弗里德赖希共济失调的FDA不良事件报告系统（FAERS）数据开展药物警戒研究所使用的全套Python分析流程（Colab 笔记本）与经预处理的汇总表格。该流程可完成不成比例性分析、FDA标签比对、PubMed新颖性评分、多重用药校正及敏感性分析。 所有输出结果包含25个全新未标注的药物相关安全信号、7个单药治疗稳健信号、E值、阴性对照分析、医学监管术语词典（MedDRA）系统器官分类（SOC）映射，以及可直接用于发表的可视化图表。