STMGraph:.

Lixian Lin1,2, Haoyu Wang1, Yuxiao Chen1

  • 1Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.

PubMed
概括

新型深度学习框架STMGraph通过解决数据丢失问题来增强空间转录组学分析. 它提高了检测组织微环境的准确性,集群空间域,并纠正生物发现的批量效应.