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Updated: Jun 29, 2026

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
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SHEST:基于血素和乙素形态学的单细胞级人工智能,用于细胞类型预测和空间转录组学重建

Hoyeon Jeong1,2, Junghan Oh3, Donggeon Lee4

  • 1Medical Research Institute, Sungkyunkwan University, 81 Irwon-Ro, 06351 Seoul, Republic of Korea.

Briefings in bioinformatics
|February 17, 2026
PubMed
概括

SHEST将组织形态与空间分子配置文件集成在一起,以预测细胞类型和重建基因表达. 这一框架增强了对用于精密瘤学的瘤微环境的理解.

关键词:
细胞类型预测预测计算病理学计算病理学数字病理学数字病理学基因表达重建重建的基因表达血素和氨酸的血液.肺部腺癌的癌症空间转录学 空间转录学瘤微环境是一个微环境.

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