longevity-db/pan-cancer-nuclei-seg

本数据集提供了从TCGA膀胱癌组织病理学幻灯片中提取的核形态计量特征，专为衰老和长寿研究而设计。数据集包含超过100万个单独核的多视野定量形状测量，使机器学习方法能够研究细胞衰老、衰老生物标志物和与年龄相关的核形态变化。README详细描述了数据集结构、核特征、临床元数据和元数据。它还提供了如何使用数据集进行核衰老时钟、衰老生物标志物发现和年龄分层分析的示例。此外，README还包含了预期的衰老模式、数据来源和方法、物理尺度和技术规范、引文和参考文献、入门指南、数据集统计、研究机会、可重复性和技术验证以及许可证和使用详情的信息。This dataset provides nuclear morphometric features extracted from TCGA bladder cancer histopathology slides, specifically designed for aging and longevity research. It includes quantitative shape measurements of over 1 million individual nuclei across multiple fields of view, enabling machine learning approaches to study cellular aging, senescence biomarkers, and age-related nuclear morphology changes. The README provides a detailed description of the dataset structure, nuclear features, clinical metadata, and technical metadata. It also offers examples of how to use the dataset for nuclear aging clocks, senescence biomarker discovery, and age-stratified analysis. Additionally, the README includes information on expected aging patterns, data sources and methods, physical scale and technical specifications, citation and references, getting started guides, dataset statistics, research opportunities, reproducibility and technical validation, and license and usage details.