five

NSCLC_mIF_object_data_DolatshahiLab

收藏
DataCite Commons2025-06-04 更新2026-05-03 收录
下载链接:
https://dataverse.lib.virginia.edu/citation?persistentId=doi:10.18130/V3/VQFO1J
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset is associated with the publication: “A flexible systems analysis pipeline for elucidating key spatial relationships in the tumor microenvironment linked with cellular phenotypes and patient outcome.” It contains single-cell data generated through multiplexed immunofluorescence imaging of tumors from NSCLC patients treated at the University of Virginia between 2014 and 2018. Following staining and imaging, cells were segmented and phenotyped using HALO software in collaboration with the Molecular Immunology and Translational Sciences (MITS) Core Facility at UVA. The resulting data, exported as CSV files, includes cell-level phenotypic information and was analyzed using a custom neighborhood profiling algorithm. For methodological details, see Hanson et al. (2025) and Wessel et al. (2024).
提供机构:
University of Virginia Dataverse
创建时间:
2025-06-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作