计算机科学
空间分析
人工智能
卷积神经网络
模式识别(心理学)
鉴定(生物学)
特征(语言学)
特征学习
生物
语言学
植物
遥感
地质学
哲学
作者
Daoliang Zhang,Na Yu,Zhiyuan Yuan,Wenrui Li,Xue Sun,Qi Zou,Xiangyu Li,Zhi‐Ping Liu,Wei Zhang,Rui Gao
出处
期刊:GigaScience
[University of Oxford]
日期:2024-01-01
卷期号:13
被引量:6
标识
DOI:10.1093/gigascience/giae089
摘要
Comprehensive benchmark analysis on various types of spatial data shows superior performance of stMMR in multiple analyses, including spatial domain identification, pseudo-spatiotemporal analysis, and domain-specific gene discovery. In chicken heart development, stMMR reconstructed the spatiotemporal lineage structures, indicating an accurate developmental sequence. In breast cancer and lung cancer, stMMR clearly delineated the tumor microenvironment and identified marker genes associated with diagnosis and prognosis. Overall, stMMR is capable of effectively utilizing the multimodal information of various SRT data to explore and characterize tissue architectures of homeostasis, development, and tumor.
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